Multi-objective genetic model for co-clustering ensemble

Progressive Meta-Learning With Curriculum

(2022) Ji Zhang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

A novel clustering ensemble model based on granular computing

(2021) Li Xu et al.   APPLIED INTELLIGENCE

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent

(2021) Sibylle Hess et al.   DATA MINING AND KNOWLEDGE DISCOVERY

DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation

(2021) Wenlong Chen et al.   KNOWLEDGE-BASED SYSTEMS

Tri-regularized nonnegative matrix tri-factorization for co-clustering

(2021) Ping Deng et al.   KNOWLEDGE-BASED SYSTEMS

Joint nonnegative matrix factorization and network embedding for graph co-clustering

(2021) Yan Wang et al.   NEUROCOMPUTING

Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)

(2020) Séverine Affeldt et al.   PATTERN RECOGNITION

A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection

(2020) Negar Maleki et al.   EXPERT SYSTEMS WITH APPLICATIONS

Self-Paced Clustering Ensemble

(2020) Peng Zhou et al.   IEEE Transactions on Neural Networks and Learning Systems

Fast and Effective Active Clustering Ensemble Based on Density Peak

(2020) Yifan Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

Consensus Affinity Graph Learning for Multiple Kernel Clustering

(2020) Zhenwen Ren et al.   IEEE Transactions on Cybernetics

Improved Gaussian–Bernoulli restricted Boltzmann machine for learning discriminative representations

(2019) Ji Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Improving performances of Top-N recommendations with co-clustering method

(2019) Liang Feng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ultra-Scalable Spectral Clustering and Ensemble Clustering

(2019) Dong Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Evolutionary Clustering via Message Passing

(2019) Natalia M. Arzeno et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Discovering Multiple Co-Clusterings With Matrix Factorization

(2019) Jun Wang et al.   IEEE Transactions on Cybernetics

Clustering ensemble selection considering quality and diversity

(2018) Sadr-olah Abbasi et al.   ARTIFICIAL INTELLIGENCE REVIEW

Co-Clustering via Information-Theoretic Markov Aggregation

(2018) Clemens Bloechl et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles

(2018) Yun Yang et al.   IEEE Transactions on Cybernetics

Genetic ACCGA: Co-similarity based Co-clustering using genetic algorithm

(2018) Syed Fawad Hussain et al.   APPLIED SOFT COMPUTING

Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm

(2018) Milad Nazarahari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonnegative matrix factorization for clustering ensemble based on dark knowledge

(2018) Wenting Ye et al.   KNOWLEDGE-BASED SYSTEMS

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

(2018) Margret Keuper et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spectral co-clustering ensemble

(2015) Shudong Huang et al.   KNOWLEDGE-BASED SYSTEMS

Evolutionary soft co-clustering: formulations, algorithms, and applications

(2014) Wenlu Zhang et al.   DATA MINING AND KNOWLEDGE DISCOVERY

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints

(2013) Kalyanmoy Deb et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES