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Sebastian Raschka, 2015

Python Machine Learning - Code Examples

Chapter 11 - Working with Unlabeled Data – Clustering Analysis

  • Grouping objects by similarity using k-means
    • K-means++
    • Hard versus soft clustering
    • Using the elbow method to find the optimal number of clusters
    • Quantifying the quality of clustering via silhouette plots
  • Organizing clusters as a hierarchical tree
    • Performing hierarchical clustering on a distance matrix
    • Attaching dendrograms to a heat map
    • Applying agglomerative clustering via scikit-learn
  • Locating regions of high density via DBSCAN
  • Summary