Computer Science
5 years ago

Unveiling the Strengths and Weaknesses of K Means Text Clustering

International Journal of Advanced Research in Computer Science
A Critical Review of K Means Text Clustering Algorithms
Francis Musembi Kwale

Paper Summary

Text clustering is a technique used to group text documents based on their similarity. The K Means algorithm is a popular method for text clustering, but it has its weaknesses. This paper explores the K Means algorithm and its variants to understand their strengths and weaknesses. The goal is to help researchers in text mining choose the best algorithm for their clustering needs.

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