Data Mining Benno Stein
Contents I. Introduction
Objectives
Related Fields 1. Statistics
Literature Data Mining:
Software Programming:
Chapter DM:I I. Introduction
Data Mining Overview Definition 1 (Knowledge Discovery in Databases, KDD
Data Mining Overview Definition 1 (Knowledge Discovery in Databases, KDD
Remarks:
Data Mining Overview
Data Mining Overview
Data Mining Overview
Retrieval
Remarks:
Data Mining Overview Relevant Data Mining Methods
Chapter DM:I
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
Remarks:
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
On Data
Chapter DM:II II. Cluster Analysis
Cluster Analysis Basics Cluster analysis is the unsupervised classification of a set of objects in groups,
Cluster Analysis Basics Cluster analysis is the unsupervised classification of a set of objects in groups,
Remarks:
Cluster Analysis Basics Let x1, . . . xn denote the p-dimensional feature vectors of n objects:
Cluster Analysis Basics Let x1, . . . xn denote the p-dimensional feature vectors of n objects:
Cluster Analysis Basics Let x1, . . . xn denote the p-dimensional feature vectors of n objects:
Cluster Analysis Basics Definition 3 (Exclusive Clustering
Cluster Analysis Basics Definition 3 (Exclusive Clustering
Cluster Analysis Basics Definition 3 (Exclusive Clustering
Cluster Analysis Basics Main Stages of a Cluster Analysis
Cluster Analysis Basics Feature Extraction and Preprocessing
Cluster Analysis Basics Feature Extraction and Preprocessing
Cluster Analysis Basics Computation of Distances or Similarities
Remarks:
Cluster Analysis Basics Computation of Distances or Similarities
Cluster Analysis Basics Computation of Distances or Similarities
Cluster Analysis Basics Computation of Distances or Similarities
Cluster Analysis Basics Computation of Distances or Similarities
Remarks:
Cluster Analysis Basics Merging Principles
Chapter DM:II
Hierarchical Cluster Analysis Merging Principles
Hierarchical Cluster Analysis Hierarchical Agglomerative Algorithm
Hierarchical Cluster Analysis Hierarchical Agglomerative Algorithm
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Single Link: Cluster Distance Measure dC = Nearest Neighbor
Hierarchical Cluster Analysis Distance Re-Computation after each Merging Step
Hierarchical Cluster Analysis Distance Re-Computation after each Merging Step
Hierarchical Cluster Analysis Distance Re-Computation after each Merging Step
Hierarchical Cluster Analysis Distance Re-Computation after each Merging Step
Hierarchical Cluster Analysis Distance Measures of Hierarchical Agglomerative Algorithms
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Ward Criterion
Hierarchical Cluster Analysis Update Formula for Cluster Distances
Hierarchical Cluster Analysis Update Formula for Cluster Distances
Hierarchical Cluster Analysis Update Formula for Cluster Distances
Hierarchical Cluster Analysis Update Formula for Cluster Distances
Hierarchical Cluster Analysis Update Formula for Cluster Distances
Remarks:
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = Nearest Neighbor)
Remarks:
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Chaining Problem of Single Link (dC = k-Nearest-Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Nesting Problem of Complete Link (dC = Furthest Neighbor)
Hierarchical Cluster Analysis Characteristics of Hierarchical Agglomerative Algorithms
Hierarchical Cluster Analysis Characteristics of Hierarchical Agglomerative Algorithms
Hierarchical Cluster Analysis Characteristics of Hierarchical Agglomerative Algorithms
Remarks:
Hierarchical Cluster Analysis Merging Principles
Hierarchical Cluster Analysis Hierarchical Divisive Algorithm
Hierarchical Cluster Analysis Hierarchical Divisive Algorithm
Remarks:
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Hierarchical Cluster Analysis MinCut
Remarks:
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Hierarchical Cluster Analysis Splitting Problem of MinCut
Remarks:
Hierarchical Cluster Analysis Combination of Hierarchical Algorithms
Hierarchical Cluster Analysis Combination of Hierarchical Algorithms
Hierarchical Cluster Analysis Combination of Hierarchical Algorithms
Chapter DM:II
Iterative Cluster Analysis Merging Principles
Iterative Cluster Analysis Exemplar-Based Algorithm
Iterative Cluster Analysis Exemplar-Based Algorithm
Remarks:
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis k-Means with Minimization Criterion e = Variance
Iterative Cluster Analysis Minimization Criteria of Exemplar-Based Algorithms
Remarks:
Remarks: (continued)
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis k-Means versus Single Link
Iterative Cluster Analysis Exclusive versus Non-Exclusive Algorithms
Iterative Cluster Analysis Exclusive versus Non-Exclusive Algorithms
Iterative Cluster Analysis Exclusive versus Non-Exclusive Algorithms
Remarks:
Chapter DM:II
Density-Based Cluster Analysis Merging Principles
Density-Based Cluster Analysis Density-based algorithms strive to partition the graph G = hV, E, wi, better: the set
Density-Based Cluster Analysis Density-based algorithms strive to partition the graph G = hV, E, wi, better: the set
Density-Based Cluster Analysis Density Estimation with Gaussian Kernel for the Example
Density-Based Cluster Analysis Density Estimation with Gaussian Kernel for the Example
Density-Based Cluster Analysis Density Estimation with Gaussian Kernel for the Example
Density-Based Cluster Analysis Density Estimation with Gaussian Kernel for the Example
Remarks:
Density-Based Cluster Analysis DBSCAN: Density Estimation Principle
Density-Based Cluster Analysis DBSCAN: Density Estimation Principle
Density-Based Cluster Analysis DBSCAN: Cluster Interpretation
Density-Based Cluster Analysis DBSCAN: Cluster Interpretation
Remarks:
Density-Based Cluster Analysis DBSCAN: Algorithm
Density-Based Cluster Analysis DBSCAN: Algorithm
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Density-Based Cluster Analysis DBSCAN
Remarks:
Density-Based Cluster Analysis Merging Principles
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Algorithm
Density-Based Cluster Analysis MajorClust: Algorithm
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Density-Based Cluster Analysis MajorClust
Remarks:
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis MajorClust: Density Estimation Principle
Density-Based Cluster Analysis DBSCAN versus MajorClust: Low-Dimensional Data
Density-Based Cluster Analysis DBSCAN versus MajorClust: Low-Dimensional Data
Density-Based Cluster Analysis DBSCAN versus MajorClust: Low-Dimensional Data
Density-Based Cluster Analysis DBSCAN versus MajorClust: Low-Dimensional Data
Density-Based Cluster Analysis DBSCAN versus MajorClust: Low-Dimensional Data
Remarks:
Density-Based Cluster Analysis DBSCAN versus MajorClust: High-Dimensional Data
Density-Based Cluster Analysis DBSCAN versus MajorClust: High-Dimensional Data
Remarks:
Chapter DM:II
Cluster Evaluation Overview
Cluster Evaluation
Cluster Evaluation
Cluster Evaluation
Cluster Evaluation
Cluster Evaluation Overview
Cluster Evaluation Overview
Cluster Evaluation Overview
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: F -Measure
Cluster Evaluation (1) External Validity Measures: Entropy
Cluster Evaluation (1) External Validity Measures: Entropy
Cluster Evaluation (1) External Validity Measures: Entropy
Cluster Evaluation (1) External Validity Measures: Entropy
Cluster Evaluation (1) External Validity Measures: Entropy
Cluster Evaluation (1) External Validity Measures: Rand, Jaccard
Cluster Evaluation (1) External Validity Measures: Rand, Jaccard
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Edge Correlation
Cluster Evaluation (2) Internal Validity Measures: Structural Analysis
Cluster Evaluation (2) Internal Validity Measures: Structural Analysis
Cluster Evaluation (2) Internal Validity Measures: Structural Analysis
Cluster Evaluation (2) Internal Validity Measures: Structural Analysis
Cluster Evaluation (2) Internal Validity Measures: Dunn Index
Cluster Evaluation (2) Internal Validity Measures: Dunn Index
Cluster Evaluation (2) Internal Validity Measures: Dunn Index
Cluster Evaluation (2) Internal Validity Measures: Dunn Index
Cluster Evaluation (2) Internal Validity Measures: Dunn Index
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (2) Internal Validity Measures: Expected Density ρ
Cluster Evaluation (3) Relative Validity Measures: Elbow Criterion
Cluster Evaluation (3) Relative Validity Measures: Elbow Criterion
Cluster Evaluation (3) Relative Validity Measures: Elbow Criterion
Cluster Evaluation (3) Relative Validity Measures: Elbow Criterion
Cluster Evaluation (3) Relative Validity Measures: Elbow Criterion
Cluster Evaluation Correlation between External and Internal Measures
Cluster Evaluation Correlation between External and Internal Measures
Cluster Evaluation Correlation between External and Internal Measures
Cluster Evaluation Correlation between External and Internal Measures
Cluster Evaluation Correlation between External and Internal Measures
Cluster Evaluation Correlation between External and Internal Measures
Chapter DM:II
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis Person Resolution Task
Constrained Cluster Analysis # Referents
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Applied to Multi-Document Resolution
Constrained Cluster Analysis Idealized Class Membership Distribution over Similarities
Constrained Cluster Analysis Membership Distribution under tf·idf Vector Space Model
Constrained Cluster Analysis Membership Distribution under Context-Based Vector Space Model
Constrained Cluster Analysis Membership Distribution under Ontology Alignment Model
Constrained Cluster Analysis In-Depth: Multi-Class Hierarchical Classification
Constrained Cluster Analysis In-Depth: Multi-Class Hierarchical Classification
Constrained Cluster Analysis In-Depth: Multi-Class Hierarchical Classification
Constrained Cluster Analysis Membership Distribution under Optimized Retrieval Model Combination
Constrained Cluster Analysis Membership Distribution under Optimized Retrieval Model Combination
Constrained Cluster Analysis Membership Distribution under Optimized Retrieval Model Combination
Constrained Cluster Analysis Membership Distribution under Optimized Retrieval Model Combination
Constrained Cluster Analysis Membership Distribution under Optimized Retrieval Model Combination
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis In-Depth: Analysis of Classifier Effectiveness
Constrained Cluster Analysis Model Selection: Our Risk Minimization Strategy
Constrained Cluster Analysis Recap
Constrained Cluster Analysis References
Kapitel DM:III III. Nearest Neighbor Strategies
Self Organizing Maps Motivation: Räumliche Organisation von Aktivitäten im Gehirn
Self Organizing Maps Idee
Self Organizing Maps Formales Modell
Remarks:
Self Organizing Maps Formales Modell
Self Organizing Maps Formales Modell
Remarks:
Self Organizing Maps Algorithmus zur Gewichtsanpassung
Remarks:
Self Organizing Maps Algorithmus zur Gewichtsanpassung
Self Organizing Maps Beispiel: Dimensionsreduktion mit SOMs
Self Organizing Maps Beispiel: Dimensionsreduktion mit SOMs
Self Organizing Maps Beispiel: Dimensionsreduktion mit SOMs
Self Organizing Maps Beispiel: Dimensionsreduktion mit SOMs
Self Organizing Maps Beispiel: Spezialfall 2D-SOMs
Self Organizing Maps Beispiel: Spezialfall 2D-SOMs
Self Organizing Maps Beispiel: Spezialfall 2D-SOMs
Self Organizing Maps Anwendungsbeispiel: Traveling Salesman Problem (TSP)
Self Organizing Maps Beispiel: Spezialfall Vektorquantisierung
als von allen anderen Neuronen.
Neural Gas Motivation
Neural Gas Idee
Neural Gas Formales Modell
Neural Gas Formales Modell
Remarks:
Neural Gas Formales Modell
Neural Gas Formales Modell
Neural Gas Algorithmus zur Gewichts- und Strukturanpassung
Neural Gas Algorithmus zur Gewichtsanpassung
Neural Gas Beispiel: Spezialfall Neuronales Gas in 2D