K-Means Clustering on Iris Flowers
See K-Means Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Partition-based6 examples
K-Means Clustering on Wine Quality
See K-Means Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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K-Means Clustering on Customer Segments
See K-Means Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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K-Medoids Clustering on Iris Flowers
See K-Medoids Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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K-Medoids Clustering on Wine Quality
See K-Medoids Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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K-Medoids Clustering on Customer Segments
See K-Medoids Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Density-based12 examples
DBSCAN Clustering on Iris Flowers
See DBSCAN Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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DBSCAN Clustering on Wine Quality
See DBSCAN Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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DBSCAN Clustering on Customer Segments
See DBSCAN Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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HDBSCAN Clustering on Iris Flowers
See HDBSCAN Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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HDBSCAN Clustering on Wine Quality
See HDBSCAN Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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HDBSCAN Clustering on Customer Segments
See HDBSCAN Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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OPTICS Clustering on Iris Flowers
See OPTICS Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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OPTICS Clustering on Wine Quality
See OPTICS Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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OPTICS Clustering on Customer Segments
See OPTICS Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Mean Shift Clustering on Iris Flowers
See Mean Shift Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Mean Shift Clustering on Wine Quality
See Mean Shift Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Mean Shift Clustering on Customer Segments
See Mean Shift Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Hierarchical9 examples
Agglomerative Hierarchical Clustering on Iris Flowers
See Agglomerative Hierarchical Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Agglomerative Hierarchical Clustering on Wine Quality
See Agglomerative Hierarchical Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Agglomerative Hierarchical Clustering on Customer Segments
See Agglomerative Hierarchical Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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BIRCH Clustering on Iris Flowers
See BIRCH Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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BIRCH Clustering on Wine Quality
See BIRCH Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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BIRCH Clustering on Customer Segments
See BIRCH Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Bisecting K-Means Clustering on Iris Flowers
See Bisecting K-Means Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Bisecting K-Means Clustering on Wine Quality
See Bisecting K-Means Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
View example →
Bisecting K-Means Clustering on Customer Segments
See Bisecting K-Means Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
View example →
Graph-based3 examples
Spectral Clustering on Iris Flowers
See Spectral Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Spectral Clustering on Wine Quality
See Spectral Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Spectral Clustering on Customer Segments
See Spectral Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Probabilistic12 examples
Gaussian Mixture Model (GMM) on Iris Flowers
See Gaussian Mixture Model (GMM) applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Gaussian Mixture Model (GMM) on Wine Quality
See Gaussian Mixture Model (GMM) applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Gaussian Mixture Model (GMM) on Customer Segments
See Gaussian Mixture Model (GMM) applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Fuzzy C-Means Clustering on Iris Flowers
See Fuzzy C-Means Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Fuzzy C-Means Clustering on Wine Quality
See Fuzzy C-Means Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
View example →
Fuzzy C-Means Clustering on Customer Segments
See Fuzzy C-Means Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Affinity Propagation Clustering on Iris Flowers
See Affinity Propagation Clustering applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Affinity Propagation Clustering on Wine Quality
See Affinity Propagation Clustering applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Affinity Propagation Clustering on Customer Segments
See Affinity Propagation Clustering applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
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Growing Neural Gas (GNG) on Iris Flowers
See Growing Neural Gas (GNG) applied to the Iris Flowers dataset (150 samples, 4 features). Interactive visualization, metrics, and analysis.
150 rows•4 features
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Growing Neural Gas (GNG) on Wine Quality
See Growing Neural Gas (GNG) applied to the Wine Quality dataset (178 samples, 13 features). Interactive visualization, metrics, and analysis.
178 rows•13 features
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Growing Neural Gas (GNG) on Customer Segments
See Growing Neural Gas (GNG) applied to the Customer Segments dataset (200 samples, 5 features). Interactive visualization, metrics, and analysis.
200 rows•5 features
View example →