A three-way clustering approach using image enhancement operations

DOI10.1016/j.ijar.2022.07.001OpenAlexW4285097436MaRDI QIDQ2169205

Jing Tao Yao, Nouman Azam, Bahar Ali

Publication date: 2 September 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.07.001

zbMATH Keywords

blurringthree-way decisionssharpeningthree-way clustering

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (5)

A three-way clustering method based on improved density peaks algorithm and boundary detection graph ⋮ Interval type-2 possibilistic fuzzy clustering noisy image segmentation algorithm with adaptive spatial constraints and local feature weighting \& clustering weighting ⋮ Three-way decision-based noise correction for crowdsourcing ⋮ Novel transformation methods from semi-three-way decision spaces to three-way decision spaces and their applications ⋮ A review of sequential three-way decision and multi-granularity learning

Cites Work

• A three-way clustering approach for handling missing data using GTRS
• Multi-objective attribute reduction in three-way decision-theoretic rough set model
• Interval set clustering of web users with rough \(K\)-means
• Three-way confusion matrix for classification: a measure driven view
• Three-way decision making approach to conflict analysis and resolution using probabilistic rough set over two universes
• Symbols-meaning-value (SMV) space as a basis for a conceptual model of data science
• The dynamic update method of attribute-induced three-way granular concept in formal contexts
• A spatial filtering inspired three-way clustering approach with application to outlier detection
• Three-way cognitive concept learning via multi-granularity
• Three-way fuzzy matroids and granular computing
• Three-way decision with incomplete information based on similarity and satisfiability
• A model of three-way decisions for knowledge harnessing
• A Three-Way Decisions Clustering Algorithm for Incomplete Data

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