About this document

DMW 5 Cse Ai&Ds U3 by Mohit Sharma by echovaultedits is a document available to read on EtoBox.

Cluster analysis is the process of grouping data objects into clusters based on their similarities, with applications in various fields such as marketing, spatial data analysis, and image processing. Good clustering methods produce high intra-class similarity and low inter-class similarity, while the quality of clustering results depends on the similarity measures and implementation. Different clustering methods include partitioning algorithms like k-means, hierarchical clustering, and density-based methods

Author

echovaultedits

Language

EN