A new clustering method using an augmentation to the self organizing maps

Kumar Roy, Divyansh and Pandey, Hari Mohan (2018) A new clustering method using an augmentation to the self organizing maps. 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence). In: 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 11-12 Jan 2018, India. ISBN 9781538617199. [Conference or Workshop Item] (doi:10.1109/CONFLUENCE.2018.8442431)

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Abstract

A technique is developed using Self Organizing Maps (SOM) to efficiently cluster the data and it is compared with existing clustering Techniques such as K-Means clustering, Hierarchical clustering and SOM Clustering. The proposed technique is used to cluster an Earthquake dataset and the performance is compared with the other existing clustering technique. The experimental results show that the proposed clustering method demonstrated better results as compared to other clustering methods.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 24856
Notes on copyright: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Dr Hari Mohan Pandey
Date Deposited: 30 Aug 2018 10:15
Last Modified: 12 Jun 2021 05:48
URI: https://eprints.mdx.ac.uk/id/eprint/24856

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