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An Efficient Way for Clustering Using Alternative Decision Tree
2012
American Journal of Applied Sciences
Problem statement: To Improve the quality of clustering; a Multi-Level Clustering (MLC) algorithm which produces a most accurate cluster with most closely related object using Alternative Decision Tree (ADT) technique is proposed. Approach: Our proposed method combines tree projection and condition for clustering formation and also is capable to produce a customizable cluster for varying kind of data along with varying number of cluster. Results: The experimental results shows that the proposed
doi:10.3844/ajassp.2012.531.534
fatcat:xrwpt4nc6zgdfaodzto2uvkloe