A Hybrid Approach Using C Mean and CART for Classification in Data Mining
Journal Title: International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com - Year 2012, Vol 12, Issue 3
Abstract
Data Mining is a field of search and researches of data. Mining the data means fetching out a piece of data from a huge data block. The basic work in the data mining can be categorized in two subsequent ways. One is called classification and the other is called clustering. Although both refers to some kind of same region but still there are differences in both the terms. The classification of the data is only possible if you have modified and identified the clusters. In the presented research paper, our aim is to find out the maximum number of clusters in a specified region by applying the area searching algorithms. Classification is always based on two things. a)The area which you choose for the classification that is the cluster region .b)The kind of dataset which you are going to apply on the selected region .To increase the accuracy of the searching technique, any one would need to focus on two things . a)Whether the data set has been cauterized in proper manner or not .b)If the clusters are defined , whether they fit into the appropriate classified area or not .
Authors and Affiliations
Jasbir Malik , Rajkumar
Keywords
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