04 Find Optimal K Using Silhouette Score for Clustering
Автор: Mathew K Analytics
Загружено: 2026-01-02
Просмотров: 0
Описание:
Learn how to determine the best number of clusters (K) in customer data using the silhouette score. This lesson covers data preprocessing, scaling, running KMeans clustering for different K values, and evaluating cluster quality with silhouette scores to find the optimal K.
Import data and preprocessing modules
Apply KMeans clustering
Calculate and interpret silhouette scores
Select the best K for your dataset
#clustering #silhouettescore #kmeans #machinelearning #python
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