Pages that link to "Item:Q1768917"
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The following pages link to Interval set clustering of web users with rough \(K\)-means (Q1768917):
Displaying 41 items.
- Kernel-based methods to identify overlapping clusters with linear and nonlinear boundaries (Q269541) (← links)
- Classification systems based on rough sets under the belief function framework (Q433521) (← links)
- A rough fuzzy approach to web usage categorization (Q703313) (← links)
- Clustering web transactions using rough approximation (Q703315) (← links)
- Stomped-\(t\): a novel probability distribution for rough-probabilistic clustering (Q780979) (← links)
- Rudiments of rough sets (Q867594) (← links)
- Rough sets and Boolean reasoning (Q867596) (← links)
- Shadowed \(c\)-means: integrating fuzzy and rough clustering (Q962669) (← links)
- Semi-supervised outlier detection based on fuzzy rough \(c\)-means clustering (Q982921) (← links)
- Multigranulation rough-fuzzy clustering based on shadowed sets (Q1999032) (← links)
- Principles for constructing three-way approximations of fuzzy sets: a comparative evaluation based on unsupervised learning (Q2048769) (← links)
- Objective function-based rough membership C-means clustering (Q2056387) (← links)
- A new initialization and performance measure for the rough \(k\)-means clustering (Q2156472) (← links)
- A three-way clustering approach using image enhancement operations (Q2169205) (← links)
- Model selection strategies for determining the optimal number of overlapping clusters in additive overlapping partitional clustering (Q2169873) (← links)
- Integrating rough set principles in the graded possibilistic clustering (Q2201663) (← links)
- Constrained three-way approximations of fuzzy sets: from the perspective of minimal distance (Q2224873) (← links)
- Variance based three-way clustering approaches for handling overlapping clustering (Q2302952) (← links)
- Three-way decision with incomplete information based on similarity and satisfiability (Q2310296) (← links)
- Detecting outliers in categorical data through rough clustering (Q2311236) (← links)
- Fuzzy data analysis and classification. Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic (Q2418334) (← links)
- Some refinements of rough \(k\)-means clustering (Q2496307) (← links)
- An efficient color quantization based on generic roughness measure (Q2629792) (← links)
- A three-way clustering method based on improved density peaks algorithm and boundary detection graph (Q2677859) (← links)
- Projected Gustafson-Kessel Clustering Algorithm and Its Convergence (Q3019860) (← links)
- A clustering algorithm for supplier base management (Q3163250) (← links)
- Generalized Agglomerative Clustering with Application to Information Systems (Q3540950) (← links)
- Evolutionary Rough k-Medoid Clustering (Q3600308) (← links)
- Rough Clustering with Partial Supervision (Q3628689) (← links)
- Supercluster in Statics and Dynamics: An Approximate Structure Imitating a Rough Set (Q5082229) (← links)
- Various Types of Objective-Based Rough Clustering (Q5213738) (← links)
- Rough Sets: From Rudiments to Challenges (Q5245176) (← links)
- Improved rough<i>k</i>-means clustering algorithm based on weighted distance measure with Gaussian function (Q5737888) (← links)
- A comprehensive approach to mode clustering (Q5965322) (← links)
- External Indices for Rough Clustering (Q6104466) (← links)
- A distributional approach for soft clustering comparison and evaluation (Q6160925) (← links)
- Semi-supervised shadowed sets for three-way classification on partial labeled data (Q6195217) (← links)
- Similarity measures for interval-valued fuzzy sets based on average embeddings and its application to hierarchical clustering (Q6205002) (← links)
- A general framework for evaluating and comparing soft clusterings (Q6492587) (← links)
- An axiomatic framework for three-way clustering (Q6556460) (← links)
- Soft clustering (Q6601080) (← links)