Clustering Based on Cosine Similarity Measure

@inproceedings{sree2012ClusteringBO,
  title={Clustering Based on Cosine Similarity Measure},
  author={K. P. N. V. Satya sree and D. V. R. Murthy},
  year={2012}
}
All clustering methods have to assume some cluster relationship among the data objects that they are applied on. Hierarchical clustering builds(agglomerative),or breaks up(divisive), a hierarchy of clusters. The traditional representation of this hierarchy is a tree. In this paper, we introduce to develop a novel hierarchal algorithm for document clustering which provides maximum efficiency and performance. It is particularly focused in studying and making use of cluster overlapping phenomenon… CONTINUE READING

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