Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof

Research article (Neurocomputing, 2016) · cited 67× · AI/ML
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Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof

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Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalized-entropy-based-possibilistic-fuzzy-c-means-for-clustering-noisy-data-and-its-convergence-proof
MLA “Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalized-entropy-based-possibilistic-fuzzy-c-means-for-clustering-noisy-data-and-its-convergence-proof.
BibTeX @misc{4ortxyz_generalized-entropy-based-possibilistic-fuzzy-c-means-for-clustering-noisy-data-and-its-convergence-proof_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof}}, year = {2026}, url = {https://4ort.xyz/entity/generalized-entropy-based-possibilistic-fuzzy-c-means-for-clustering-noisy-data-and-its-convergence-proof}, note = {Accessed: 2026-05-24}}
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