Importance of proximity measures in clustering of cancer and miRNA datasets: proposal of an automated framework.

Abstract

Distance plays an important role in the clustering process for allocating data points to different clusters. Several distance or proximity measures have been developed and reported in the literature to determine dissimilarities between two given points. The choice of distance measure depends on a particular domain as well as different data sets of the same… (More)

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