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A data-driven approach to estimating the number of clusters in hierarchical clustering

2016-12-01

Abstract excerpt

DNA microarray and gene expression problems often require a researcher to perform clustering on their data in a bid to better understand its structure. In cases where the number of clusters is not known, one can resort to hierarchical clustering methods. However, there currently exist very few automated algorithms for determining the true number of clusters in the data. We propose two new methods (mode and maximum...

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Literature Corpus work
5bdd7f4d-4078-587c-b23f-60b104e40dcb
DOI
10.12688/f1000research.10103.1
Open publication

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A data-driven approach to estimating the number of clusters in hierarchical clusteringDOI 10.12688/f1000research.10103.1
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