A New Clustering Method Using an Augmentation to the Self Organizing Maps

Authors: Kumar Roy, D. and Mohan Pandey, H.

Journal: Proceedings of the 8th International Conference Confluence 2018 on Cloud Computing, Data Science and Engineering, Confluence 2018

Pages: 739-742

DOI: 10.1109/CONFLUENCE.2018.8442431

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.

Source: Scopus

A New Clustering Method Using an Augmentation to the Self Organizing Maps

Authors: Roy, D.K. and Pandey, H.M.

Journal: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING

Pages: 739-742

Source: Web of Science (Lite)