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PAM Clustering in Data Mining by samaksh is a document available to read on EtoBox.

What is PAM Clustering in Data Mining about?

The document discusses the PAM (Partitioning Around Medoids) clustering technique. PAM is an iterative algorithm that combines relocating points between potential clusters with reassigning points as potential medoid representatives. The algorithm aims to optimize an objective function measuring cluster quality with each iteration. Variants like CLARA and CLARANS were developed to apply PAM to larger datasets using sampling and randomness. The document focuses on analyzing the basic PAM algorithm and its use

Author

samaksh

Language

EN