Sebastian Raschka, 2015

Python Machine Learning - Code Examples

• 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