A novel cluster validity index for fuzzy C-means algorithm
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DOI: 10.1007/s00500-016-2453-y
Abstract: To overcome the main problem of the cluster number in many clustering applications, a new clustering approach with improved morphology similarity distance and the novel cluster validity index is proposed in this paper. An optimized… read more here.
Keywords: novel cluster; cluster; cluster validity; validity index ... See more keywords
An unsupervised and robust validity index for clustering analysis
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DOI: 10.1007/s00500-018-3582-2
Abstract: The evaluation of clustering results plays an important role in clustering analysis and usually is completed by a validity index or several. But currently existing validity indexes are supervised since they greatly depend on prior… read more here.
Keywords: validity indexes; clustering analysis; validity index; index ... See more keywords
Estimating the Optimal Number of Clusters Via Internal Validity Index
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DOI: 10.1007/s11063-021-10427-8
Abstract: Estimating the optimal number of clusters (NC) is pivotal in cluster analysis. From the viewpoint of sample geometry, a novel internal clustering validity index, which is termed the between-within cluster (BWC) index, is designed in… read more here.
Keywords: data sets; number clusters; index; optimal number ... See more keywords
A Clustering Validity Index Based on Pairing Frequency
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DOI: 10.1109/access.2017.2743985
Abstract: Clustering is an important problem, which has been applied in many research areas. However, there is a large variety of clustering algorithms and each could produce quite different results depending on the choice of algorithm… read more here.
Keywords: clustering validity; index; index based; validity index ... See more keywords
An Internal Validity Index Based on Density-Involved Distance
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DOI: 10.1109/access.2019.2906949
Abstract: 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. One… read more here.
Keywords: distance; internal validity; index based; validity index ... See more keywords
Normalization-Based Validity Index of Adaptive K-Means Clustering for Multi-Solution Application
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DOI: 10.1109/access.2020.2964763
Abstract: Validity evaluation aims to analyze the quality of the clustering algorithm with different measurement criteria. A variety of assessment methods have been introduced in the application of pattern recognition and computer vision. Although it is… read more here.
Keywords: normalization based; multi solution; based validity; validity index ... See more keywords
A new fuzzy cluster validity index for hyper-ellipsoid or hyper-spherical shape close clusters with distant centroids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3016339
Abstract: Determining the correct number of clusters is essential for efficient clustering and cluster validity indices are widely used for the same. Generally, the effectiveness of a cluster validity index relies on two factors: (i) separation,… read more here.
Keywords: index; cluster validity; validity index; close clusters ... See more keywords