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Clustering of Datasets by using Centroid Based Method

By Niraj N. Kasliwal, Prof Shrikant Lade and Prof Naveen Malviya

Abstract

Abstract- The integrated data mining processing technique to find appropriate initial centroids and Vectors in data clustering process by K-means and C-means algorithm. The processes include data cleansing, preprocessing, and finding features relation with Apriori algorithm to get appropriate features. Here we used centriod based model that represents the processes for finding appropriate initial clustering centroids and selecting the most relevant features from large datasets. We can get better clustering result with these clustering methodology. The experimental result shows the working enviournment of both clustering techniques

Topics: Apriori algorithm, K-means clustering, C- means (Fuzzy
Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.413.3515
Provided by: CiteSeerX
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