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code/ch11/README.md

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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