A hybrid clustering algorithm for data mining

Ravindra Jain

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arXiv · 1205.5353

A hybrid clustering algorithm for data mining

Ravindra Jain

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Abstract

Data clustering is a process of arranging similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups. In this paper a hybrid clustering algorithm based on K-mean and K-harmonic mean (KHM) is described. The proposed algorithm is tested on five different datasets. The research is focused on fast and accurate clustering. Its performance is compared with the traditional K-means & KHM algorithm. The result obtained from proposed hybrid algorithm is much better than the traditional K-mean & KHM algorithm.

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BibTeX RIS

Ravindra Jain. 2012-05-24. A hybrid clustering algorithm for data mining. https://arxiv.org/abs/1205.5353

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