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Text Document Retrieval through Clustering using Meaningful Frequent Ordered Word Patterns
2018
International Journal of Applied Engineering Research
Agglomerative Hierarchical Clustering (AHC) algorithm has two major limitations: one is its rigid nature and the other is the resulting globular clusters. This is due to the constraint of closest pair selection of clusters to re-cluster in a single iteration. In the proposed algorithm, this rigid nature is removed by a greedy approach to select more than one object for clustering in the same iteration using k-Nearest Neighbours approach. Instead of k, a similarity threshold is used to find
doi:10.37622/ijaer/13.7.2018.4822-4833
fatcat:kgwproi2nzabjjed6t7dgetz34