A Study of Hierarchical Clustering Algorithm

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Provided by: Research In Motion
Topic: Big Data
Format: PDF
Clustering is the process of grouping the data into classes or clusters, so that objects within a cluster have high similarity in comparison to one another but these objects are very dissimilar to the objects that are in other clusters. Clustering methods are mainly divided into two groups: hierarchical and partitioning methods. Hierarchical clustering combine data objects into clusters, those clusters into larger clusters, and so forth, creating a hierarchy of clusters. In partitioning clustering methods various partitions are constructed and then evaluations of these partitions are performed by some criterion.
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