International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 3, March 2013 Edition [ISSN 2250-3153]

Agglomerative Hierarchical Clustering Algorithm- A Review
      K.Sasirekha, P.Baby
Abstract: 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, and splits are performed recursively as one moves down the hierarchy.

Reference this Research Paper (copy & paste below code):

K.Sasirekha, P.Baby (2018); Agglomerative Hierarchical Clustering Algorithm- A Review; Int J Sci Res Publ 3(3) (ISSN: 2250-3153).
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