News categorization and hierarchical clustering
Hierarchical clustering divides the target dataset into multilevels or a hierarchy of clusters. It segments data points along with successive partitions.
There are two strategies for hierarchical clustering. Agglomerative clustering starts with each data object in the input dataset as a cluster, and then in the following steps, clusters are merged according to certain similarity measures that end in only one cluster. Divisive clustering, in contrast, starts with one cluster with all the data objects in the input dataset as members, and then, the cluster splits according to certain similarity measures in the following steps, and at the end, singleton clusters of individual data objects are left.
The ...
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