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