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Performance Evaluation of Clustering Algorithms

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Author(s): Sharmila#1, R.C Mishra

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 7;
Start page: 3113;
Date: 2013;
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Keywords: Data mining algorithms | Weka tool | K-means algorithm | Clustering methods.

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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