Computer Science
4 years ago

New Clustering Techniques Revolutionize Data Analysis for Wine Industry!

Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Md. Siraj Ud. Doulah, Md. Azizul Hakim, Md. Abdul Hamid

Paper Summary

Clustering techniques were analyzed to group objects based on similarity, aiming to find the best algorithm for a wine dataset. Complete and Average linkage showed clear results for hierarchical clustering, while PAM and Robust k-means were accurate. Model Based and Fuzzy c-means were also accurate, but slightly less so than PAM and Robust k-means.

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