Comparison of K-Means and Modified K-Mean Algorithms for Large Data-Set

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Provided by: The World
Topic: Data Management
Format: PDF
Clustering performance is based iterative and analysis is a descriptive task that seeks to identify homogeneous groups of objects based on the values of the methodology is search to be near and its close to the desired cluster centers in each step attributes. This paper has been proposes a modified approach K-Means clustering which executes k-means algorithm this algorithm approach is better in the process in large number of clusters and its time of execution is comparisons base on k-mean approach.
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