International Journal of Application or Innovation in Engineering & Management
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ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation Multiple Clustering Views for Data Analysis , Authors : Ms. Harsha Sondawale, Prof. N. M. Shahane , International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 10, October 2014

Title:
Multiple Clustering Views for Data Analysis
Author Name:
Ms. Harsha Sondawale, Prof. N. M. Shahane
Abstract:
ABSTRACT Many clustering algorithms provide single clustering solution which is not sufficient for the analysis of the data. Complex data can be represented in many different ways. In general, the clustering of high dimension data is a hard problem. The different views of the data and the use of relationship between these views are useful to solve the problem of clustering. For this purpose a survey is done that finds the multiple alternative clustering views which will be helpful for the purpose of exploratory data analysis and provides the multiple meaningful, different or non-redundant alternative clustering solutions. Keywords:- alternative clustering, multiple clustering, spectral clustering, multi-view clustering
Cite this article:
Ms. Harsha Sondawale, Prof. N. M. Shahane , " Multiple Clustering Views for Data Analysis " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 10, October 2014 , pp. 177-180 , ISSN 2319 - 4847.
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