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Published in 2018 at "Soft Computing"
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…
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Keywords:
novel cluster;
cluster;
cluster validity;
validity index ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3535417
Abstract: Cluster analysis is the process of associating data objects with classes of similar objects. One key aspect of the clustering problem is to determine the optimal number of groups on a data set to effectively…
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Keywords:
new evaluation;
evaluation method;
cluster validity;
cluster ... See more keywords
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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,…
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Keywords:
index;
cluster validity;
validity index;
close clusters ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3160381
Abstract: This article presents an adaptive resonance theory predictive mapping (ARTMAP) model, which uses incremental cluster validity indices (iCVIs) to perform unsupervised learning, namely, iCVI-ARTMAP. Incorporating iCVIs to the decision-making and many-to-one mapping capabilities of this…
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Keywords:
cluster validity;
artmap;
resonance theory;
adaptive resonance ... See more keywords