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

Pandey, Hari (2018) A new clustering method using an augmentation to the self organizing maps. 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 11/01/2018 - 12/01/2018, India, pp. 739-743, ISBN 978-1-5386-1719-9, DOI https://doi.org/10.1109/CONFLUENCE.2018.8442431.

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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 (Proceedings)
Uncontrolled Keywords: Clustering, Self Organizing Map (SOM), Hierarchical Clustering and K-means clustering.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computing and Information Systems
Date Deposited: 19 Oct 2018 14:38
URI: http://repository.edgehill.ac.uk/id/eprint/10759

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