An Efficient K-Means Method Based on Centroid Handling for the Similarity Estimation
Girdhar Gopal Ladha,
Ravi Kumar Singh Pippal
Abstract:The main aim of this paper is to handle centroid calculation in k-means efficiently. So that the distance estimation will be more accurate and prominent results will be fetched in terms of clustering. For this PIMA database has been considered. Data preprocessing has been performed for the unwanted data removal in terms of missing values. Then centroid initialization has been performed based on centroid tuning and randomization. For distance estimation Euclidean, Pearson Coefficient, Chebyshev and Canberra alg… Show more
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