IMI2: A fuzzy clustering validity index for multiple imbalanced clusters

Fu Liu, Jingyuan Wang, Yun Liu

Abstract: Highlights•We propose a new clustering validity index that is effective for unbalanced data sets with multiple clusters.•We design a merging algorithm that is able to produce majority clusters of high quality.•This new CVI performs better than existing CVIs and some clustering algorithms.