Search Results - Fuzzy clustering validity function

Clustering Validity Evaluation Functions of Fuzzy C-means Clustering Algorithm by Wang, Guan, Xing, Cheng, Wang, Jie-Sheng, Wang, Hong-Yu, Liu, Jia-Xu

“… Therefore, partition coefficient, partition entropy, separation index, Bensaid clustering validity function, Xie and Beni clustering validity function, Dunn clustering validity function…”
Get full text

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

“… Therefore, it is necessary to carry out the research on the validity evaluation methods of fuzzy clustering…”
Get full text

Component-wise design method of fuzzy C-means clustering validity function based on CRITIC combination weighting by Wang, Guan, Wang, Jie-Sheng, Wang, Hong-Yu, Liu, Jia-Xu

“… Therefore, a component-wise design method of the fuzzy C-means (FCM) clustering validity function based on CRITIC combination weighting is proposed by adopting components for evaluating clustering performance…”
Get full text

Fuzzy C-Means Clustering Validity Function Based on Multiple Clustering Performance Evaluation Components by Wang, Guan, Wang, Jie-Sheng, Wang, Hong-Yu

“… The study of clustering validity function is the process of evaluating the clustering quality and determining the optimal clustering number…”
Get full text

Coarse–fine surrogate model driven multiobjective evolutionary fuzzy clustering algorithm with dual memberships for noisy image segmentation by Zhao, Feng, Liu, Feifan, Li, Chaoqi, Liu, Hanqiang, Lan, Rong, Fan, Jiulun

“…). The existing fuzzy clustering validity-based fitness functions generally consider one single fuzzy membership function, which cannot fully process the uncertainty in an image…”
Get full text

A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters by Yi, Jing, Wang, Zhihao, Liu, Peiyu, Ren, Min

“… Secondly, this paper, by introducing a penalty function, proposed a new fuzzy clustering validity index based on fuzzy compactness and separation, which ensured that when the…”
Get full text

Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy by Wang, H. Y., Wang, J. S., Wang, G.

“… Therefore, a hybrid weighted combination evaluation method based on fuzzy C-means (FCM) clustering validity functions was proposed…”
Get full text

A New Validity Function for Fuzzy Clustering by 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 fuzzy c-means clustering algorithm…”
Get full text

Exponent and Logarithm Component-Wise Construction Method of FCM Clustering Validity Function Based on Subjective and Objective Weighting by Liu, Jia-Xu, Wang, Jie-Sheng, Wang, Guan, Zhao, Xiao-Rui, Wang, Hong-Yu, Jin, Di

“… To overcome the shortcomings of these clustering validity functions and improve the accuracy of the optimal cluster category classification for the datasets, based on the clustering performance…”
Get full text

Fuzzy C-Poincaré Fréchet means clustering in hyperbolic space by Wu, Chengmao, Pan, Sifan

“…•The proposed algorithm’s convergence is analyzed with Zangwill’s theorem.•Clustering validity functions for the proposed algorithms have been introduced…”
Get full text

A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion by Wu, Chengmao, Zhang, Xialu

“… Secondly, a series of clustering validity functions for the proposed algorithm are constructed to determine the optimal number of clusters in the data…”
Get full text

A Novel Clustering Validity Function of FCM Clustering Algorithm by Zhu, L. F., Wang, J. S., Wang, H. Y.

“… A validity function of fuzzy C-means (FCM) clustering algorithm is proposed by adopting the division of intra-class compactness and inter-class separation, whose minimum represents the best clustering…”
Get full text

A Dynamic Weighted Sum Validity Function for Fuzzy Clustering with an Adaptive Differential Evolution Algorithm by Zhi-Feng Wu, Hou-Kuan Huang

“…Clustering is a difficult problem, both with respect to the construction of adequate objective functions as well as to the optimization of the objective functions…”
Get full text

Fuzzy clustering validity for spatial data by Hu, Chunchun, Meng, Lingkui, Shi, Wenzhong

“… This paper discusses a detection method for clustered patterns and a fuzzy clustering algorithm, and studies the validity function of the result produced by fuzzy clustering based on two aspects…”
Get full text

Regional flood risk assessment via coupled fuzzy c-means clustering methods: an empirical analysis from China’s Huaihe River Basin by Wang, Zongzhi, Wu, Jingjing, Cheng, Liang, Liu, Kelin, Wei, Yi-Ming

“… Based on these indicators, a regional flood risk assessment model was put forward, which coupled fuzzy c -means clustering, factor analysis, and a clustering…”
Get full text

A new cluster-validity for fuzzy clustering by Zahid, N., Limouri, M., Essaid, A.

“…Fuzzy cluster-validity criterion tends to evaluate the quality of fuzzy c-partitions produced by fuzzy clustering algorithms…”
Get full text

A new clustering validity function for the Fuzzy C-means algorithm by 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 structure…”
Get full text

Fuzzy Clustering Validity for Spatia Data by HU Chunchun MENG Lingkui SHI Wenzhong

“… This paper discusses a detection method for clustered patterns and a fuzzy clustering algorithm, and studies the validity function of the result produced by fuzzy clustering based on two aspects…”
Get full text

A validity measure for fuzzy clustering by Xie, X.L., Beni, G.

“…The authors present a fuzzy validity criterion based on a validity function which identifies compact and separate fuzzy c-partitions without assumptions as to the number of substructures inherent in the data…”
Get full text

Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm by Wu, Chengmao, Zhang, Xialu, Yan, Shuai

“…To further improve the clustering quality on high dimensional data, this paper makes two improvements of weighted possibilistic fuzzy C-means (WPFCM…”
Get full text