Enhanced and Efficient K-means Clustering Algorithm with New Technique of Initialization

Sejal Patel; Ankita Shah

CALL FOR PAPERS : Mar-2023

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25-Mar-23

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Enhanced and Efficient K-means Clustering Algorithm with New Technique of Initialization

Author(s):

Sejal Patel , Narnarayan Shastri Institute of Technology, Jetalpur, Ahmedabad, Gujarat; Ankita Shah, Narnarayan Shastri Institute of Technology, Jetalpur, Ahmedabad, Gujarat

Keywords:

Document Clustering, K-means, Enhanced Approach, pre-processing, centroid

Abstract:

Document clustering is a more specific technique for unsupervised document organization. Clustering methods can be used to automatically group the retrieved documents into a list of meaningful categories. This paper gives an overview of some of the mostly used document clustering techniques. Further, It explains the Enhanced K-means algorithm which is initialized properly to overcome the drawback of converging of it to local optimum.