Corresponding Author's : Seema

Co-Author's : Asha Yadav

Abstract :

Data clustering is a widely employed method in the area of data analysis, finding applications in several domains such as data mining, pattern recognition, and picture analysis. Researchers have made it a continual goal to enhance the performance of clustering algorithms and find solutions to the difficulties that come with the management of large datasets during clustering. On the other hand, traditional clustering algorithms might not be up to the task of reaching a greater level of accuracy when it comes to the classification of enormous datasets. Consequently, the application of clever algorithms is essential in order to successfully cluster difficult data. In this paper, a method of clustering is presented that takes its cues from natural phenomena, namely the phenomenon of kin recognition among groups of trees. The experimental results showed the accuracy and capability of proposed algorithm to data clustering.

Keywords :

Clustering, Kin recognition, Phylogenetic measure

Article Details

Unique Paper ID: 93

Publication Volume & Issue: VOLUME 3 , ISSUE 3

Page(s): 37-42

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