Results 241 to 250 of about 346,399 (298)

Cluster validity index for irregular clustering results

Applied Soft Computing, 2020
Abstract Different clustering algorithms with different parameter settings can produce various partitions on the input data. Without the priori knowledge, it is difficult for users to select the proper clustering algorithm and the parameters for the specific data in advance.
Shaoyi Liang, Deqiang Han, Yi Yang
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Cluster validity index

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Cluster validity indexes are used to identify the best partitioning in a dataset from the results of a clustering algorithm. The overlap phenomenon is a source of failure for most of these validity indexes.In this work, we propose a new validity index named Vcw for the fuzzy c-means algorithm and we also propose to compare the performance of eight ...
Chaimae Ouchicha, Ouafae Ammor, Mohammed Meknassi   +2 more
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Robust cluster validity indexes

Pattern Recognition, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Kuo-Lung, Yang, Miin-Shen, Hsieh, June-Nan   +2 more
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Some new indexes of cluster validity

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1998
We review two clustering algorithms (hard c-means and single linkage) and three indexes of crisp cluster validity (Hubert's statistics, the Davies-Bouldin index, and Dunn's index). We illustrate two deficiencies of Dunn's index which make it overly sensitive to noisy clusters and propose several generalizations of it that are not as brittle to outliers
J C, Bezdek, N R, Pal
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A cluster validity index for fuzzy clustering

Information Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Yunjie, Wang, Weina, Zhang, Xiaona, Li, Yi   +3 more
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A cluster validity index for fuzzy clustering

Pattern Recognition Letters, 2005
Cluster validity indexes have been used to evaluate the fitness of partitions produced by clustering algorithms. This paper presents a new validity index for fuzzy clustering called a partition coefficient and exponential separation (PCAES) index. It uses the factors from a normalized partition coefficient and an exponential separation measure for each
Kuo-Lung Wu, Miin-Shen Yang
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Efficient synthetical clustering validity indexes for hierarchical clustering

Expert Systems with Applications, 2020
Abstract Clustering validation and identifying the optimal number of clusters are of great importance in expert and intelligent systems. However, the commonly used similarity measures for validating are not versatile to measure the complex data structure, in reality, some of which are not as effective as that of the used clustering algorithm which ...
Qin Xu, Qiang Zhang, Jinpei Liu, Bin Luo
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A comprehensive validity index for clustering [PDF]

Intelligent Data Analysis, 2008
Cluster validity indices are used for both estimating the quality of a clustering algorithm and for determining the correct number of clusters in data. Even though several indices exist in the literature, most of them are only relevant for data sets that contain at least two clusters.
Saitta, S., Raphael, B., Smith, I.F.C.
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An evolutionary cluster validation index

2008 3rd International Conference on Bio-Inspired Computing: Theories and Applications, 2008
This paper presents a new evolutionary method for the cluster validation index (CVI), namely eCVI. The proposed method learns CVI from the generated training data set using the genetic programming (GP), and then outputs the optimal number of clusters after taking parameters of a test data set into the learned CVI. Each chromosome encodes a possible CVI
null Sanghoun Oh, null Chang Wook Ahn, null Moongu Jeon   +2 more
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A novel internal cluster validity index

Journal of Intelligent & Fuzzy Systems, 2020
It is critical to determine the optimal number of clusters (NC) in cluster analysis. Many cluster validity indices have been proposed, such as the Silhouette index and In-group proportion index. However, these validity indices have more time complexity.
Zhou, Shibing, Liu, Fei
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