Výsledky vyhľadávania - "clustering validity function"

A survey of fuzzy clustering validity evaluation methods Autor Wang, Hong-Yu, Wang, Jie-Sheng, Wang, Guan

“…As an unsupervised learning method, clustering does not need to know prior knowledge of the datasets in advance. How determining the optimal number of clusters…”
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Component-wise design method of fuzzy C-means clustering validity function based on CRITIC combination weighting Autor Wang, Guan, Wang, Jie-Sheng, Wang, Hong-Yu, Liu, Jia-Xu

“…Clustering validity function is an important research direction in clustering problems. Its idea is to specify the number of data clusters in advance so as to…”
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An effective clustering scheme for high-dimensional data Autor He, Xuansen, He, Fan, Fan, Yueping, Jiang, Lingmin, Liu, Runzong, Maalla, Allam

“…While the classical K -means algorithm has been widely used in many fields, it still has some defects. Therefore, this paper proposes a scheme to improve the…”
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Fuzzy C-Means Clustering Validity Function Based on Multiple Clustering Performance Evaluation Components Autor Wang, Guan, Wang, Jie-Sheng, Wang, Hong-Yu

“…Clustering is the process of grouping a set of physical or abstract objects into multiple similar objects. Fuzzy C-means (FCM) clustering is one of the most…”
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Exponent and Logarithm Component-Wise Construction Method of FCM Clustering Validity Function Based on Subjective and Objective Weighting Autor Liu, Jia-Xu, Wang, Jie-Sheng, Wang, Guan, Zhao, Xiao-Rui, Wang, Hong-Yu, Jin, Di

“…The cluster validity function is used to evaluate the quality of the cluster results, and giving the exact number of initial cluster categories will…”
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Clustering Validity Function Fusion Method of FCM Clustering Algorithm Based on Dempster–Shafer Evidence Theory Autor Wang, Hong-Yu, Wang, Jie-Sheng, Wang, Guan

“…With the deepening of the research on clustering algorithm, clustering validity has become an indispensable part of cluster analysis. However, due to the…”
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Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy Autor Wang, H. Y., Wang, J. S., Wang, G.

“…Clustering validity function is an index used to judge the accuracy of clustering results. At present, most studies on clustering validity are based on single…”
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Regional flood risk assessment via coupled fuzzy c-means clustering methods: an empirical analysis from China’s Huaihe River Basin Autor Wang, Zongzhi, Wu, Jingjing, Cheng, Liang, Liu, Kelin, Wei, Yi-Ming

“…This study contributed to the comprehensive assessment of flood risk in the Huaihongnanpian flood control protected area (simplified as the HHNP) of the Huaihe…”
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An Efficient Detecting Communities Algorithm with Self-Adapted Fuzzy C-Means Clustering in Complex Networks Autor Jianzhi Jin, Yuhua Liu, Yang, L. T., Naixue Xiong, Fang Hu

“…Community structure is an important characteristic in real complex networks, meaning the networks are divided naturally into modules or communities, groups of…”
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A New Validity Function for Fuzzy Clustering Autor Yang Li, Fusheng Yu

“…This paper first gives a new validity function for fuzzy clustering, then presents a method of the optimal selecting of the cluster number in the standard…”
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A new clustering validity function for the Fuzzy C-means algorithm Autor Jiesheng Wang

“…Fuzzy c-means (FCM) clustering algorithm is the unsupervised extraction of groups from an unlabelled data set with no prior knowledge of the underlying data…”
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