A medoid-based deviation ratio index to determine the number of clusters in a dataset.

ABSTRACT: Most existing methods of determining the number of groups apply to particular data types or are calculated based on the distance matrix for all object pairs. In this paper, we propose a medoid-based Deviation Ratio Index (DRI) to determine the number of clusters. The DRI is calculated based on the distance matrix for each object to k final medoids. These final medoids are produced by the block-based k -medoids algorithm (BlockD-KM). We choose a specific transformation and a suitable distance for certain variables before executing the BlockD-KM. We illustrated the detailed stages of DRI on secondary data in the 2022 environmental index of Asia Pacific countries, so that they are easy to reproduce. We use eight real datasets, namely Breast Cancer, Heart Disease, Iris, Wine, Soybean, Ionosphe

SUBMITTER: Kariyam 

PROVIDER: S-EPMC10011427 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature