A New Fuzzy Clustering Validity Index Based on Fuzzy Proximity Matrices
Rafael Xavier Valente, Antônio P. Braga, Witold Pedrycz · 2013
This paper presents a new validity index for fuzzy partitions generated by the fuzzy c-means algorithm. The proposed validity index is based on the calculation of factors from the proximity matrix generated from the membership matrix generated by a fuzzy clustering partition algorithm, such as FCM. The experimental results show that the proposed approach is consistent with other well-known metrics and with the dataset structure as observed from Proximity Matrices.