Analysis of streaming clustering using an incremental validity index
OA Ibrahim, JM Keller, JC Bezdek
IEEE International Conference on Fuzzy Systems | IEEE | Published : 2018
© 2018 IEEE. In this paper, we study the internal incremental Davies-Bouldin (iiDB) cluster validity index in the context of streaming data analysis. We extend the original index to a more general version parameterized by the exponent of membership weights. Then we illustrate how the iiDB can be used to analyze and understand the performance of the Extended Robust Online Streaming Clustering (EROLSC) algorithm. We give examples that illustrate the appearance of a new cluster, the effect of different cluster sizes, handling of outlier data samples, and the effect of the input order on the resultant cluster history.