Results 11 to 20 of about 346,399 (298)

A New Cluster Validity Index Based on the Adjustment of Within-Cluster Distance

IEEE Access, 2020
The evaluation on clustering results is an important component of clustering analysis, which can be conducted by the cluster validity index. However, the performances of most existing indices depend on not only the specific clustering algorithms but also
Qi Li, Shihong Yue, Yaru Wang, Mingliang Ding, Jia Li   +4 more
doaj   +1 more source

S-Divergence-Based Internal Clustering Validation Index.

International Journal of Interactive Multimedia and Artificial Intelligence, 2023
A clustering validation index (CVI) is employed to evaluate an algorithm’s clustering results. Generally, CVI statistics can be split into three classes, namely internal, external, and relative cluster validations. Most of the existing internal CVIs were designed based on compactness (CM) and separation (SM).
Kumar Sharma, Krishna, Seal, Ayan, Yazidi, Anis, Krejcar, Ondrej   +3 more
openaire   +3 more sources

A validity index based on cluster symmetry [PDF]

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007
An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly developed point symmetry distance is used to propose a new cluster validity index named Sym -index which provides a measure of "symmetricity" of the different partitionings of a ...
Sriparna Saha, Sanghamitra Bandyopadhyay
openaire   +1 more source

Normality-based validation for crisp clustering [PDF]

, 2010
This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not
Corbacho Abelaira, Fernando, Lago-Fernández, Luis F.   +1 more
core   +2 more sources

Cluster validity index for adaptive clustering algorithms

IET Communications, 2014
Everyday a large number of records of surfing internet are generated. In various situations when the authors are analysing internet data they do not know the cluster structure of the author's database of traffic features, such as when the border of cluster members is vague, and the clusters’ partitions have different shapes, how to establish an ...
Hongyan Cui, Mingzhi Xie, Yunlong Cai, Xu Huang, Yunjie Liu   +4 more
openaire   +1 more source

Noise resistant generalized parametric validity index of clustering for gene expression data [PDF]

, 2014
This article has been made available through the Brunel Open Access Publishing Fund.Validity indices have been investigated for decades. However, since there is no study of noise-resistance performance of these indices in the literature, there is no ...
Fa, R, Nandi, AK
core   +1 more source

SMART: Unique splitting-while-merging framework for gene clustering [PDF]

, 2014
Copyright @ 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are ...
A Thalamuthu, AD Lanterman, AE Teschendorff, AK Jain, Asoke K. Nandi, B Abu-Jamous, B Fritzke, B Fritzke, CR Lin, CS Wallace, D Dembele, D Jiang, David J. Roberts, G Celeux, H Akaike, J Qin, J Rissanen, KY Yeung, L Hubert, L Mavridis, L Zhao, MAT Figueiredo, P Tamayo, PT Spellman, R Xu, R Xu, RJ Cho, Rui Fa, S Bandyopadhyay, S Monti, S Wu, Sergio Gómez, T Kohonen, T Pramila, TR Golub, WM Rand, YJ Zhang   +36 more
core   +3 more sources

Adaptive clustering algorithm based on improved marine predation algorithm and its application in bearing fault diagnosis

Electronic Research Archive, 2023
In cluster analysis, determining the number of clusters is an important issue because there is less information about the most appropriate number of clusters in the real problem.
Zhuanzhe Zhao, Mengxian Wang, Yongming Liu, Zhibo Liu, Yuelin Lu , Yu Chen, Zhijian Tu   +6 more
doaj   +1 more source

OsamorSoft: clustering index for comparison and quality validation in high throughput dataset

Journal of Big Data, 2020
The existence of some differences in the results obtained from varying clustering k-means algorithms necessitated the need for a simplified approach in validation of cluster quality obtained.
Ifeoma Patricia Osamor, Victor Chukwudi Osamor   +1 more
doaj   +1 more source

An Internal Validity Index Based on Density-Involved Distance

IEEE Access, 2019
It is crucial to evaluate the quality of clustering results in cluster analysis. Although many cluster validity indices (CVIs) have been proposed in the literature, they have some limitations when dealing with non-spherical datasets.
Lianyu Hu, Caiming Zhong
doaj   +1 more source