An Improved Three-Way Clustering Based on Ensemble Strategy

Dynamic updating approximations of local generalized multigranulation neighborhood rough set

(2022) Weihua Xu et al.   APPLIED INTELLIGENCE

Image blurring and sharpening inspired three-way clustering approach

(2022) Anwar Shah et al.   APPLIED INTELLIGENCE

A Three-step Method for Three-way Clustering by Similarity-based Sample’s Stability

(2022) Jin Zhu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

The geometry of three-way decision

(2021) Yiyu Yao   APPLIED INTELLIGENCE

A novel clustering ensemble model based on granular computing

(2021) Li Xu et al.   APPLIED INTELLIGENCE

An automatic three-way clustering method based on sample similarity

(2021) Xiuyi Jia et al.   International Journal of Machine Learning and Cybernetics

Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems

(2021) Wentao Li et al.   ARTIFICIAL INTELLIGENCE REVIEW

Clustering ensemble via structured hypergraph learning

(2021) Peng Zhou et al.   Information Fusion

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept

(2021) Kehua Yuan et al.   INFORMATION SCIENCES

Double-quantitative multigranulation rough fuzzy set based on logical operations in multi-source decision systems

(2021) Xiuwei Chen et al.   International Journal of Machine Learning and Cybernetics

Supervised information granulation strategy for attribute reduction

(2020) Keyu Liu et al.   International Journal of Machine Learning and Cybernetics

Density Peaks Clustering Based on Density Backbone and Fuzzy Neighborhood

(2020) Abdulrahman Lotfi et al.   PATTERN RECOGNITION

An Improved Mean Imputation Clustering Algorithm for Incomplete Data

(2020) Hong Shi et al.   NEURAL PROCESSING LETTERS

Neighborhood rough set-based three-way clustering considering attribute correlations: An approach to classification of potential gout groups

(2020) Xiaoli Chu et al.   INFORMATION SCIENCES

Three-way k-means: integrating k-means and three-way decision

(2019) Pingxin Wang et al.   International Journal of Machine Learning and Cybernetics

A three-way c-means algorithm

(2019) Kai Zhang   APPLIED SOFT COMPUTING

Clustering ensemble based on sample's stability

(2019) Feijiang Li et al.   ARTIFICIAL INTELLIGENCE

Accelerator for multi-granularity attribute reduction

(2019) Zehua Jiang et al.   KNOWLEDGE-BASED SYSTEMS

Tri-level thinking: models of three-way decision

(2019) Yiyu Yao   International Journal of Machine Learning and Cybernetics

An efficient selector for multi-granularity attribute reduction

(2019) Keyu Liu et al.   INFORMATION SCIENCES

A three-way cluster ensemble approach for large-scale data

(2019) Hong Yu et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Ensemble selector for attribute reduction

(2018) Xibei Yang et al.   APPLIED SOFT COMPUTING

A semi-supervised approximate spectral clustering algorithm based on HMRF model

(2018) Shifei Ding et al.   INFORMATION SCIENCES

An active three-way clustering method via low-rank matrices for multi-view data

(2018) Hong Yu et al.   INFORMATION SCIENCES

A three-way clustering approach for handling missing data using GTRS

(2018) Mohammad Khan Afridi et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

CE3: A three-way clustering method based on mathematical morphology

(2018) Pingxin Wang et al.   KNOWLEDGE-BASED SYSTEMS

Locally Weighted Ensemble Clustering

(2018) Dong Huang et al.   IEEE Transactions on Cybernetics

Rough set based semi-supervised feature selection via ensemble selector

(2018) Keyu Liu et al.   KNOWLEDGE-BASED SYSTEMS

A novel approach to information fusion in multi-source datasets: A granular computing viewpoint

(2017) Weihua Xu et al.   INFORMATION SCIENCES

Neighborhood attribute reduction: a multi-criterion approach

(2017) Jingzheng Li et al.   International Journal of Machine Learning and Cybernetics

Detecting and refining overlapping regions in complex networks with three-way decisions

(2016) Hong Yu et al.   INFORMATION SCIENCES

Multi-label learning with label-specific feature reduction

(2016) Suping Xu et al.   KNOWLEDGE-BASED SYSTEMS

Generalized multigranulation double-quantitative decision-theoretic rough set

(2016) Weihua Xu et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble clustering using factor graph

(2016) Dong Huang et al.   PATTERN RECOGNITION

Three-Way Decisions and Cognitive Computing

(2016) Yiyu Yao   Cognitive Computation

Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets

(2016) Weihua Xu et al.   IEEE Transactions on Cybernetics

Test cost sensitive multigranulation rough set: Model and minimal cost selection

(2013) Xibei Yang et al.   INFORMATION SCIENCES

Applying the self-organization feature map (SOM) algorithm to AE-based tool wear monitoring in micro-cutting

(2012) Chia-Liang Yen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel feature selection method based on normalized mutual information

(2011) La The Vinh et al.   APPLIED INTELLIGENCE

Positional and confidence voting-based consensus functions for fuzzy cluster ensembles

(2011) Xavier Sevillano et al.   FUZZY SETS AND SYSTEMS

The superiority of three-way decisions in probabilistic rough set models

(2010) Yiyu Yao   INFORMATION SCIENCES

SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index

(2010) Ibai Gurrutxaga et al.   PATTERN RECOGNITION

CONSENSUS-BASED ENSEMBLES OF SOFT CLUSTERINGS

(2008) Kunal Punera et al.   APPLIED ARTIFICIAL INTELLIGENCE

Clustering aggregation by probability accumulation

(2008) Xi Wang et al.   PATTERN RECOGNITION