Clustering Algorithms: Brief Review in Bioinformatics

Jayant Mishra, Vivek Agarwal, Megha Sharma, J.K Srivastava

Abstract: Pattern recognition is a task of categorising some objects to a correct class based on certain measurement or features of the object. Clustering is a technique for finding similar groups in data called clusters. It groups data instances that are similar to each other in one cluster and data instances that are very different from each other are grouped into different cluster. This paper gives a brief review of the various aspects of clustering approaches that are currently in vogue. Moreover the author summarize types and utilities of clustering approaches prevalent in practical field like Bioinformatics, comparative analysis such as that K-mean clustering is truly advantageous of all approaches and is therefore used in computational recognition studies.

Keywords: Clustering, Patterns, Recognition, Bioinformatics, K-mean Clustering

How to Cite?: Jayant Mishra, Vivek Agarwal, Megha Sharma, J.K Srivastava, "Clustering Algorithms: Brief Review in Bioinformatics", Volume 6 Issue 1, January 2017, International Journal of Science and Research (IJSR), Pages: 1012-1019, https://www.ijsr.net/getabstract.php?paperid=ART20164276, DOI: https://dx.doi.org/10.21275/ART20164276

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