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A Novel Cluster Ensemble based on a Single Clustering Algorithm

https://doi.org/10.15439/2021f28
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sam.10098openalex-snapshot
Bayesian cluster ensembles
inferredcites →https://doi.org/10.1007/s13042-017-0756-7openalex-snapshot
Clustering ensemble method
inferredcites →https://doi.org/10.1016/j.cosrev.2018.01.003openalex-snapshot
Cluster ensembles: A survey of approaches with recent extensions and applications
inferredcites →https://doi.org/10.1016/j.engappai.2019.103307openalex-snapshot
A new multi-objective differential evolution approach for simultaneous clustering and feature selection
inferredcites →https://doi.org/10.1016/j.eswa.2015.04.069openalex-snapshot
A robust unsupervised consensus control chart pattern recognition framework
inferredcites →https://doi.org/10.1016/j.knosys.2005.11.003openalex-snapshot
Clusterer ensemble
inferredcites →https://doi.org/10.1016/j.knosys.2015.10.006openalex-snapshot
Hierarchical cluster ensemble model based on knowledge granulation
inferredcites →https://doi.org/10.1016/j.patcog.2020.107207openalex-snapshot
Auto-weighted multi-view co-clustering via fast matrix factorization
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot
Data clustering: 50 years beyond K-means
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/icdm.2015.145openalex-snapshot
Weighted Spectral Cluster Ensemble
inferredcites →https://doi.org/10.1109/icdmw.2009.46openalex-snapshot
MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset
inferredcites →https://doi.org/10.1109/icecc.2012.782openalex-snapshot
The Method of Cluster Ensemble Based on Minimum Redundancy Feature Subset
inferredcites →https://doi.org/10.1109/icime.2010.5478054openalex-snapshot
Semi-supervised cluster ensemble based on binary similarity matrix
inferredcites →https://doi.org/10.1109/tcyb.2016.2569529openalex-snapshot
Distribution-Based Cluster Structure Selection
inferredcites →https://doi.org/10.1109/tim.2015.2450354openalex-snapshot
Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites
inferredcites →https://doi.org/10.1109/tkde.2015.2503743openalex-snapshot
Multi-View Clustering Based on Belief Propagation
inferredcites →https://doi.org/10.1109/tpami.2005.113openalex-snapshot
Combining multiple clusterings using evidence accumulation
inferredcites →https://doi.org/10.1109/tpami.2005.237openalex-snapshot
Clustering ensembles: models of consensus and weak partitions
inferredcites →https://doi.org/10.1109/tsmc.2013.2281963openalex-snapshot
An Ontology-Based Text Mining Method to Develop D-Matrix From Unstructured Text
inferredcites →https://doi.org/10.1109/tsmca.2012.2208186openalex-snapshot
The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
inferredcites →https://doi.org/10.1126/science.1242072openalex-snapshot
Clustering by fast search and find of density peaks
inferredcites →https://doi.org/10.1162/153244303321897735openalex-snapshot
10.1162/153244303321897735
inferredcites →https://doi.org/10.1371/journal.pone.0144059openalex-snapshot
A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data
inferredcites →https://doi.org/10.15439/2014f258openalex-snapshot
An Optimized Version of the K-Means Clustering Algorithm
inferredcites →https://doi.org/10.15439/2016f231openalex-snapshot
Evaluation of an Optimized K-Means Algorithm Based on Real Data
inferredcites →https://doi.org/10.3233/ifs-141518openalex-snapshot
A hierarchical fuzzy cluster ensemble approach and its application to big data clustering
inferredcites →https://doi.org/10.48550/arxiv.1208.4138openalex-snapshot
Semi-supervised Clustering Ensemble by Voting

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4827273openalex-extracted
Clustering by Constrained Gravitational Law Based on Multiple Sub-Centroids
inferred← citeshttps://doi.org/10.36227/techrxiv.170327363.35625494/v1openalex-snapshot
Gravity Sub-centroids for Optimal Clustering
inferred← citeshttps://doi.org/10.52549/.v11i2.4471openalex-snapshot
Handling Imbalanced Data through Re-sampling: Systematic Review
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