Machine Learning: Clustering
12 videos • 4,510 views • by Mario Castro
1
Introduction to clustering
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2
k-means: The simplest (but most used) partitioning clustering method
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3
Tutorial: Playing with k-means (part I: computing stuff)
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4
Tutorial: Playing with k-means (part II: plotting stuff)
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5
Hierarchical clustering: clustering using trees
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6
Tutorial: Hierarchical clustering in R
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7
Advanced Partitional clustering: medoids, PAM and CLARA and lite versions
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8
Distance and Similarity measures
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9
Cluster validation and selection
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10
Model-base clustering: an introduction to Gaussian Mixture Models
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11
Density-based clustering: DBSCAN
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12
Tutorial: Model-based clustering (using the library mclust)
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