Clustermap
Related to: Preprocess
- Purpose: Identify which features are most similar using Dendrograms.
- Visualization: Regions of color show clustering, similar to a heatmap.
- Functionality: Performs clustering on both rows and columns.
Requirements: Input should be numerical; data needs to be scaled.
import seaborn as sns
sns.clustermap(x_scaled, cmap='mako', standard_scale=0) # 0 for rows, 1 for columns