SEND: A novel dissimilarity metric using ensemble properties of the feature space for clustering numerical data. - Gaurav Mishra; Amit Kumar Kar; Amaresh Chandra Mishra; Sraban Kumar Mohanty; Manoj Kumar Panda (Inf. Sci., 2021)

An entropy-based density peak clustering for numerical gene expression datasets. - Rashmi Maheshwari; Amaresh Chandra Mishra; Sraban Kumar Mohanty (Appl. Soft Comput., 2023)

An efficient entropy based dissimilarity measure to cluster categorical data. - Amit Kumar Kar; Amaresh Chandra Mishra; Sraban Kumar Mohanty (Eng. Appl. Artif. Intell., 2023)

DCSNE: Density-based Clustering using Graph Shared Neighbors and Entropy. - Rashmi Maheshwari; Sraban Kumar Mohanty; Amaresh Chandra Mishra (Pattern Recognit., 2023)

An entropy-based weighted dissimilarity metric for numerical data clustering using the distribution of intra feature differences. - Abdul Atif Khan; Amaresh Chandra Mishra; Sraban Kumar Mohanty (Knowl. Based Syst., 2023)

EDMD: An Entropy based Dissimilarity measure to cluster Mixed-categorical Data. - Amit Kumar Kar; Mohammad Maksood Akhter; Amaresh Chandra Mishra; Sraban Kumar Mohanty (Pattern Recognit., 2024)

EDMIX: an entropy-based dissimilarity measure to cluster mixed data comprising of numerical-nominal-ordinal attributes. - Amit Kumar Kar; Amaresh Chandra Mishra; Sraban Kumar Mohanty (Knowl. Inf. Syst., 2025)