wehub-resource-sync
17 lines
612 B
Markdown
17 lines
612 B
Markdown
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 |