Performance Evaluation of Clustering Algorithms

Performance Evaluation of Clustering Algorithms

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-7                      
Year of Publication : 2013
Authors : Sharmila , R.C Mishra

Citation 

Sharmila , R.C Mishra. "Performance Evaluation of Clustering Algorithms". International Journal of Engineering Trends and Technology (IJETT). V4(7):3113-3116 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

Data mining is the process of analysing data from different viewpoints and summarizing it into useful information. Data mining tool allows users to analyse data from different dimensions or angles, categorize it, and précis the relations recognized. Clustering is the important aspect of data mining. It is the process of grouping of data, where the grouping is recognized by finding similarities between data based on their features. Weka is a data mining tool. It provides the facility to classify and cluster the data through machine leaning algorithms. This paper compares various clustering algorithms.

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Keywords
Data mining algorithms, Weka tool, K - means algorithm, Clustering methods.