Feature Extraction for effective Clustering Analysis
This video showcases three different approaches to going about feature extraction for clustering analysis: 1) no feature extraction, 2) PCA and 3) functional data reduction. The video uses the K-means clustering algorithm of the sklearn module. To download the code and the dataset used in this video use this link: https://github.com/royjafari/DataAnal...
