A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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Updated
Nov 22, 2020 - Python
A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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In Divisive we have all points in one cluster initially and we break the cluster into required number of clusters.
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In Agglomerative we start with all points as individual clusters and then keep on combining clusters until required number of clusters are not formed using linkages like single, complete, average, ward or centroid.
The prog is written to construct the phylogenetic tree (dendrogram) based on DNA/Protein sequences of species given in a dataset using Agglomerative and Divisive Hierarchical Clustering and to compare Agglomerative and Divisive methods
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