In this paper a new cluster validity index is introduced, which assesses the average compactness and separation of fuzzy partitions generated by the fuzzy ...
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In this paper a new cluster validity index is introduced, which assesses the average compactness and separation of fuzzy partitions generated by the fuzzy ...
Jul 9, 2024 · The proposed validity index exploits inter-cluster proximity between fuzzy clusters. Inter-cluster proximity is used to measure the degree of ...
In this paper a new cluster validity index is introduced, which assesses the average compactness and separation of fuzzy partitions generated by the fuzzy c- ...
Abstract: This paper presents a new validity index for validation of the fuzzy partitions generated by the fuzzy c-means algorithm.
This paper presents a new validity index for fuzzy-possibilistic c-means clustering called Fuzzy-Possibilistic)FP (index, which works well in the presence of ...
Dec 8, 2016 · In this paper, we propose a clustering technique by using a new validity index with a fuzzy C-means algorithm. The basic idea is to convert ...
In this paper, based on the Shannon entropy and fuzzy variation theory, considering the geometry structure information of data sets, we give a new cluster ...
Sep 8, 2024 · This paper presents a new validity index for fuzzy-possibilistic c-means clustering called Fuzzy-Possibilistic (FP) index, which works well ...
This new index is not based on a geometric distance and can determine the degree of correlation of the clusters. Finally, the proposed cluster validity index is ...