Fit Hierarchical Clusters

By for October 24, 2016

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Assign data to clusters using hierarchical clustering
Fit Hierarchical Clusters assigns data to clusters using different agglomerative clustering methods. The module takes numeric dataset as input, and returns the dataset with cluster assignments. The module uses R hclust library. You can choose between 3 clustering methods: 1. Complete. Merge clusters based on maximum distance between elements. 2. Single. Merge clusters based on minimum distance between elements. 3. Average. Merge clusters based on average distance between elements. The hierarchy of clusters is then split into N distinct clusters, specified by Number of clusters parameter. The module code is available [here][1]. [1]: https://github.com/Azure/custmod/tree/master/Clusterers