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

Year: 2024

Type: article

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.

Source: International Research Journal of Education and Technology (IRJET).

DOI: 10.70127/irjedt.vol.7.issue02.103

Author: Maniraj V

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4407413317

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