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View all- Szederjesi-Dragomir A(2024)A Comprehensive Evaluation of Rough Sets Clustering in Uncertainty Driven ContextsStudia Universitatis Babeș-Bolyai Informatica10.24193/subbi.2024.1.0369:1(41-56)Online publication date: 10-Jun-2024
The similarity measure plays an important role in agglomerative hierarchical clustering. Following the idea of gravitational clustering which treats all the data points as mass points under a hypothetical gravitational force field, we propose a novel ...
Among the most interesting measures in intuitionistic fuzzy sets (IFSs) theory, the similarity measure is an essential tool to compare and determine degree of similarity between IFSs. Although there exist many similarity measures for IFSs, most of them ...
The goal of clustering is to partition the data points into clusters, such that the data points in the same cluster are similar. Therefore, similarity measure is one of the most critical issues for clustering. In this paper, we present a novel similarity ...
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