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.
CITATION STYLE
Agglomerative Hierarchical Clustering. (2013). In Encyclopedia of Systems Biology (pp. 17–17). Springer New York. https://doi.org/10.1007/978-1-4419-9863-7_100033
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