Clustering ensemble based on approximate accuracy of the equivalence granularity

Clustering Ensemble Based on Sample’s Certainty

(2021) Xia Ji et al.   Cognitive Computation

Challenges in unsupervised clustering of single-cell RNA-seq data

(2019) Vladimir Yu Kiselev et al.   NATURE REVIEWS GENETICS

Robust Spectral Ensemble Clustering via Rank Minimization

(2019) Zhiqiang Tao et al.   ACM Transactions on Knowledge Discovery from Data

Clustering ensemble based on sample's stability

(2019) Feijiang Li et al.   ARTIFICIAL INTELLIGENCE

Ensemble clustering based on dense representation

(2019) Jie Zhou et al.   NEUROCOMPUTING

Improving consensus clustering with noise-induced ensemble generation

(2019) Patcharaporn Panwong 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

Clustering ensemble selection considering quality and diversity

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

Locally Weighted Ensemble Clustering

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

Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

(2018) Tao Lei et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method

(2017) Feijiang Li et al.   INFORMATION SCIENCES

Cluster ensemble framework based on the group method of data handling

(2016) Geer Teng et al.   APPLIED SOFT COMPUTING

Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation

(2016) Jnanendra Prasad Sarkar et al.   APPLIED SOFT COMPUTING

Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering

(2016) Zhiwen Yu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Robust Ensemble Clustering Using Probability Trajectories

(2016) Dong Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Improved rough k-means clustering algorithm based on weighted distance measure with Gaussian function

(2016) Tengfei Zhang et al.   INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

A tree-based incremental overlapping clustering method using the three-way decision theory

(2016) Hong Yu et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble clustering using factor graph

(2016) Dong Huang et al.   PATTERN RECOGNITION

Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation

(2015) Zhiwen Yu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis

(2015) Dong Huang et al.   NEUROCOMPUTING

Rough clustering utilizing the principle of indifference

(2014) Georg Peters   INFORMATION SCIENCES

Hierarchical clustering algorithm for categorical data using a probabilistic rough set model

(2014) Min Li et al.   KNOWLEDGE-BASED SYSTEMS

A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm

(2014) Hamid Parvin et al.   PATTERN ANALYSIS AND APPLICATIONS

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

An extension to Rough c -means clustering based on decision-theoretic Rough Sets model

(2013) Fan Li et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Ensemble clustering by means of clustering embedding in vector spaces

(2013) Lucas Franek et al.   PATTERN RECOGNITION

A clustering ensemble framework based on elite selection of weighted clusters

(2013) Hamid Parvin et al.   Advances in Data Analysis and Classification

Applying variable precision rough set model for clustering student suffering study’s anxiety

(2011) Iwan Tri Riyadi Yanto et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Link-Based Cluster Ensemble Approach for Categorical Data Clustering

(2011) Natthakan Iam-On et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Link-Based Approach to the Cluster Ensemble Problem

(2011) Natthakan Iam-On et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Bagging-based spectral clustering ensemble selection

(2011) Jianhua Jia et al.   PATTERN RECOGNITION LETTERS

Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations

(2010) Yun Yang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On voting-based consensus of cluster ensembles

(2009) Hanan G. Ayad et al.   PATTERN RECOGNITION

Weighted cluster ensembles

(2009) Carlotta Domeniconi et al.   ACM Transactions on Knowledge Discovery from Data

Spectral Clustering Ensemble Applied to SAR Image Segmentation

(2008) Xiangrong Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Clustering aggregation by probability accumulation

(2008) Xi Wang et al.   PATTERN RECOGNITION

Resampling-based selective clustering ensembles

(2008) Yi Hong et al.   PATTERN RECOGNITION LETTERS

Cluster Ensemble Selection

(2008) Xiaoli Z. Fern et al.   Statistical Analysis and Data Mining

Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters

(2007) H.G. Ayad et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE