Unsupervised learning Algorithm in Clustering: A Comparison of Hierarchical and K means

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Unsupervised learning Algorithm in Clustering: A Comparison of Hierarchical and K means

Author: Dr.V.Maniraj and P. Akshaya

Published On: 2025-02-12

DOI: https://doi.org/10.70127/irjedt.vol.7.issue02.103

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Abstract

Unsupervised learning algorithms play a crucial role in discovering hidden patterns and structures within the data This paper delves into two prominent clustering approaches K-means and Hierarchical clustering. Evaluating their performance, strengths and weakness and their methodology and their process. The results highlight the strength of Hierarchical clustering in identifying complex clusters and k-means in handling well separated clusters. This study provides the insights for choosing the suitable algorithm for specific clustering tasks.

Keywords: Machine learning, Unsupervised learning, Clustering, K-means, Hierarchical.

Keywords

Machine learning Unsupervised learning Clustering K-means Hierarchical.

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