Corpus ID: 1359166

Agglomerative Hierarchical Clustering Algorithm- A Review

@inproceedings{Sasirekha2013AgglomerativeHC,
  title={Agglomerative Hierarchical Clustering Algorithm- A Review},
  author={K. Sasirekha and P. Baby},
  year={2013}
}
  • K. Sasirekha, P. Baby
  • Published 2013
  • Mathematics
  • Clustering is a task of assigning a set of objects into groups called clusters. In data mining, hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types:Agglomerative: This is a "bottom up" approach: each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy.Divisive: This is a "top down" approach: all observations start in one cluster… CONTINUE READING
    A SURVEY OF CLUSTERING TECHNIQUES

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