On a similarity measure between LR-type fuzzy numbers and its application to database acquisition. - Miin-Shen Yang; Wen-Liang Hung; Shou-Jen Chang-Chien (Int. J. Intell. Syst., 2005)

Mean shift-based clustering for directional data. - Shou-Jen Chang-Chien; Miin-Shen Yang; Wen-Liang Hung (IWACI, 2010)

On mean shift-based clustering for circular data. - Shou-Jen Chang-Chien; Wen-Liang Hung; Miin-Shen Yang (Soft Comput., 2012)

On Mean Shift Clustering for Directional Data on a Hypersphere. - Miin-Shen Yang; Shou-Jen Chang-Chien; Hsun-Chih Kuo (ICAISC (2), 2014)

An unsupervised clustering algorithm for data on the unit hypersphere. - Miin-Shen Yang; Shou-Jen Chang-Chien; Wen-Liang Hung (Appl. Soft Comput., 2016)

Learning-based EM clustering for data on the unit hypersphere with application to exoplanet data. - Miin-Shen Yang; Shou-Jen Chang-Chien; Wen-Liang Hung (Appl. Soft Comput., 2017)

A Fully-Unsupervised Possibilistic C-Means Clustering Algorithm. - Miin-Shen Yang; Shou-Jen Chang-Chien; Yessica Nataliani (IEEE Access, 2018)

Unsupervised fuzzy model-based Gaussian clustering. - Miin-Shen Yang; Shou-Jen Chang-Chien; Yessica Nataliani (Inf. Sci., 2019)

Gaussian-kernel c-means clustering algorithms. - Shou-Jen Chang-Chien; Yessica Nataliani; Miin-Shen Yang (Soft Comput., 2021)

Gaussian-Kernel Neutrosophic C-Means Clustering. - Miin-Shen Yang; Shou-Jen Chang-Chien; Yasir Akhtar (FTC (1), 2023)