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