Euclidean distance stratified random sampling based clustering model for big data mining. - Kamlesh Kumar Pandey; Diwakar Shukla (Comput. Math. Methods, 2021)

Min-max kurtosis stratum mean: An improved K-means cluster initialization approach for microarray gene clustering on multidimensional big data. - Kamlesh Kumar Pandey; Diwakar Shukla (Concurr. Comput. Pract. Exp., 2022)

Maxmin Data Range Heuristic-Based Initial Centroid Method of Partitional Clustering for Big Data Mining. - Kamlesh Kumar Pandey; Diwakar Shukla (Int. J. Inf. Retr. Res., 2022)

Maxmin distance sort heuristic-based initial centroid method of partitional clustering for big data mining. - Kamlesh Kumar Pandey; Diwakar Shukla (Pattern Anal. Appl., 2022)

Stratified linear systematic sampling based clustering approach for detection of financial risk group by mining of big data. - Kamlesh Kumar Pandey; Diwakar Shukla (Int. J. Syst. Assur. Eng. Manag., 2022)

Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data. - Kamlesh Kumar Pandey; Diwakar Shukla (Evol. Syst., 2023)

Min-max kurtosis mean distance based k-means initial centroid initialization method for big genomic data clustering. - Kamlesh Kumar Pandey; Diwakar Shukla (Evol. Intell., 2023)

Cancer tissue detection using improved K-means initialization method for multi-dimensional microarray big data clustering. - Kamlesh Kumar Pandey; Diwakar Shukla (J. Ambient Intell. Humaniz. Comput., 2023)