Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data - researchr publication related

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Kamlesh Kumar Pandey, Diwakar Shukla. Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data. Evolving Systems, 14(2):207-244, April 2023. [doi]

The following publications are possibly variants of this publication:

Min-max kurtosis mean distance based k-means initial centroid initialization method for big genomic data clusteringKamlesh Kumar Pandey, Diwakar Shukla. evi, 16(3):1055-1076, June 2023. [doi]

Min-max kurtosis stratum mean: An improved K-means cluster initialization approach for microarray gene clustering on multidimensional big dataKamlesh Kumar Pandey, Diwakar Shukla. concurrency, 34(23), 2022. [doi]

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