Related references
Note: Only part of the references are listed.A multi-GPU biclustering algorithm for binary datasets
Aurelio Lopez-Fernandez et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2021)
Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets
Rosana Veroneze et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)
Evolutionary multi-objective optimization based overlapping subspace clustering ?
Dipanjyoti Paul et al.
PATTERN RECOGNITION LETTERS (2021)
Robust subspace clustering based on inter-cluster correlation reduction by low rank representation
Hui Liu et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2021)
Multi-objective soft subspace clustering in the composite kernel space
Yuanrui Li et al.
INFORMATION SCIENCES (2021)
Multi-view subspace clustering via partition fusion
Juncheng Lv et al.
INFORMATION SCIENCES (2021)
Biclustering with missing data
J. Li et al.
INFORMATION SCIENCES (2020)
Biclustering with dominant sets
M. Denitto et al.
PATTERN RECOGNITION (2020)
Bi-objective optimization of biclustering with binary data
Said Hanafi et al.
INFORMATION SCIENCES (2020)
An Adaptive Sparse Subspace Clustering for Cell Type Identification
Ruiqing Zheng et al.
FRONTIERS IN GENETICS (2020)
Hub-based subspace clustering
Priya Mani et al.
NEUROCOMPUTING (2020)
It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data
Juan Xie et al.
BRIEFINGS IN BIOINFORMATICS (2019)
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
Jorge Gonzalez-Dominguez et al.
INFORMATION SCIENCES (2019)
PUMA: Parallel subspace clustering of categorical data using multi-attribute weights
Ning Pang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
On Boolean Representation of Continuous Data Biclustering
Marcin Michalak et al.
FUNDAMENTA INFORMATICAE (2019)
Scalable biclustering - the future of big data exploration?
Patryk Orzechowski et al.
GIGASCIENCE (2019)
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data
Chun-Qiu Xia et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)
Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
Hong Jia et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
A systematic comparative evaluation of biclustering techniques
Victor A. Padilha et al.
BMC BIOINFORMATICS (2017)
Soft subspace clustering of categorical data with probabilistic distance
Lifei Chen et al.
PATTERN RECOGNITION (2016)
Rough subspace neuro-fuzzy system
Krzysztof Siminski
FUZZY SETS AND SYSTEMS (2015)
Biclustering on expression data: A review
Beatriz Pontes et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2015)
Assessing Beijing's PM2.5 pollution: severity, weather impact, APEC and winter heating
Xuan Liang et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2015)
Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II
Anirban Mukhopadhyay et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
LateBiclustering: Efficient Heuristic Algorithm for Time-Lagged Bicluster Identification
Joana P. Goncalves et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2014)
Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods
Pinar Tufekci
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
Neuro-fuzzy system with weighted attributes
Krzysztof Siminski
SOFT COMPUTING (2014)
A weighting k-modes algorithm for subspace clustering of categorical data
Fuyuan Cao et al.
NEUROCOMPUTING (2013)
Predicting missing values with biclustering: A coherence-based approach
F. O. de Franca et al.
PATTERN RECOGNITION (2013)
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
M. J. Gacto et al.
INFORMATION SCIENCES (2011)
RULE WEIGHTS IN A NEURO-FUZZY SYSTEM WITH A HIERARCHICAL DOMAIN PARTITION
Krzysztof Siminski
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE (2010)
A new feature selection method for Gaussian mixture clustering
Hong Zeng et al.
PATTERN RECOGNITION (2009)
Clustering High-Dimensional Data: A Survey on Subspace Clustering, Pattern-Based Clustering, and Correlation Clustering
Hans-Peter Kriegel et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2009)
Bayesian biclustering of gene expression data
Jiajun Gu et al.
BMC GENOMICS (2008)
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
Shang-Ming Zhou et al.
FUZZY SETS AND SYSTEMS (2008)
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm
G. Gan et al.
PATTERN RECOGNITION (2008)
A local neuro-fuzzy network for high-dimensional models and optimization
Stefan Jakubek et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2006)
A systematic comparison and evaluation of biclustering methods for gene expression data
A Prelic et al.
BIOINFORMATICS (2006)
Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data
A Tanay et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)
Clustering objects on subsets of attributes
JH Friedman et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2004)
Why the magic number seven plus or minus two
TL Saaty et al.
MATHEMATICAL AND COMPUTER MODELLING (2003)
Flexible neuro-fuzzy systems
L Rutkowski et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)