Clustering Analysis using K-Means
This is a rather long video but many important concepts of clustering analysis are covered: 1) Clusterability, Hopkins Statistics, Clustering Comparisons, Clustering Evaluations (Silhouette score, Sum of Squared Error), K-Means Algorithm, Finding the number of clusters, and Centroid Analysis. To download the code and the dataset used in this video use this link: https://github.com/royjafari/DataAnal...
