A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability. - Seyed Alireza Mousavian Anaraki; Abdorrahman Haeri; Fateme Moslehi (Pattern Anal. Appl., 2021)

Soft and hard hybrid balanced clustering with innovative qualitative balancing approach. - Seyed Alireza Mousavian Anaraki; Abdorrahman Haeri (Inf. Sci., 2022)

Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance. - Seyed Alireza Mousavian Anaraki; Abdorrahman Haeri; Fateme Moslehi (Neural Comput. Appl., 2022)