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Review Papers | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017
Clustering Algorithms: Brief Review in Bioinformatics
Jayant Mishra [4] | Vivek Agarwal | Megha Sharma [6] | 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
Edition: Volume 6 Issue 1, January 2017,
Pages: 1012 - 1019
Similar Articles with Keyword 'Clustering'
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Student Project, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 1875 - 1880Microclustering with Outlier Detection for DADC
Aswathy Priya M.
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Analysis Study Research Paper, Computer Science & Engineering, India, Volume 12 Issue 11, November 2023
Pages: 1840 - 1846Analysis of Placement for Electronics and Communication Engineering Students using Multiple Clustering
Dr. Dola Sanjay S