In this article, we'll describe different methods for determining the optimal number of clusters for k-means, k-medoids (PAM) and hierarchical clustering.
Determining the optimal number of clusters in your dataset · r-tastic
Must-Know: How to determine the most useful number of clusters
PDF) An IoT Approach to Personalised Remote Monitoring and Management of Epilepsy
Hierarchical Clustering from scratch in R – Insight – Data Science
Determining The Optimal Number Of Clusters: 3 Must Know Methods - Datanovia
Text Analytics (NLP) utilizando Python, by Guilherme Gomes, Data Hackers
The best number of clusters with the elbow method - Posit Community
python - Finding the optimal number of clusters using the elbow
K Means, PDF, Cluster Analysis
Sustainability, Free Full-Text
Chapter 19 Bonus: Choosing the K
Rapport d'analyse Dimensionality Reduction