Review on Clustering Mechanism For Web Based Data Mining

  • Ritu * Computer Science & Engineering Ganga Institute of Technology and Management Kablana
  • Mahesh Kumar Computer Science & Engineering Ganga Institute of Technology and Management Kablana
DOI: https://doi.org/10.53555/cse.v3i4.285
Keywords: Data mining, web mining, web intelligence, knowledge discovery, fuzzy logic, K-mean

Abstract

K-Means Clustering algorithm is need to classify given data set into K clusters; value of K is defined by user which is fixed.
In this first centroid of each cluster is selected for clustering & then according to chosen centriod, data points having minimum distance
from given cluster, is assigned to that particular cluster

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Author Biographies

Ritu *, Computer Science & Engineering Ganga Institute of Technology and Management Kablana

¹M.Tech. Student ,Computer Science & Engineering Ganga Institute of Technology and Management Kablana, Jhajjar, Haryana, India

Mahesh Kumar, Computer Science & Engineering Ganga Institute of Technology and Management Kablana

Associate Professor, Computer Science & Engineering Ganga Institute of Technology and Management Kablana, Jhajjar, Haryana, India

Published
2017-04-30
How to Cite
*, R., & Kumar, M. (2017). Review on Clustering Mechanism For Web Based Data Mining. IJRDO -Journal of Computer Science Engineering, 3(4), 27-32. https://doi.org/10.53555/cse.v3i4.285
Issue
Vol. 3 No. 4 (2017): IJRDO - Journal of Computer Science Engineering
Section
Articles

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