Hierarchical Filter based Document Clustering Algorithm

Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Data Management
Format: PDF
Clustering is the one of the major important task in data mining. The task of clustering is to find the fundamental structures in data and categorize them into meaningful subgroups for supplementary study and examination. Existing K-means clustering with MVS measure it doesn't best position to cluster the data points. This problem will lead to gain less optimal solution for clustering method. Using multiple viewpoints, more informative assessment of similarity could be achieved. Theoretical analysis and empirical study are conducted to support this claim. Two criterion functions for document clustering are proposed based on this new measure.

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