Possibilistic Fuzzy Clustering for Categorical Data Arrays Based on Frequency Prototypes and Dissimilarity Measures
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova · International Journal of Intelligent Systems and Applications · 2017
Fuzzy clustering procedures for categorical data are proposed in the paper.Most of well-known conventional clustering methods face certain difficulties while processing this sort of data because a notion of similarity is missing in these data.A detailed description of a possibilistic fuzzy clustering method based on frequency-based cluster prototypes and dissimilarity measures for categorical data is given.