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Cluster’s Quality Evaluation and Selective Clustering Ensemble

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What this work says

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

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Comparing partitions

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Hierarchical Clustering Schemes

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Double indices-induced FCM clustering and its integration with fuzzy subspace clustering

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Cluster ensemble selection based on relative validity indexes

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Positive approximation: An accelerator for attribute reduction in rough set theory

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Hierarchical cluster ensemble selection

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Exploring the diversity in cluster ensemble generation: Random sampling and random projection

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Moderate diversity for better cluster ensembles

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

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Clusterer ensemble

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An ensemble of decision cluster crotches for classification of high dimensional data

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Spectral co-clustering ensemble

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Incremental density-based ensemble clustering over evolving data streams

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An integrated K-means – Laplacian cluster ensemble approach for document datasets

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Stratified feature sampling method for ensemble clustering of high dimensional data

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Ensemble clustering using factor graph

inferredcites →https://doi.org/10.1016/j.patrec.2008.10.007openalex-snapshot

Resampling-based selective clustering ensembles

inferredcites →https://doi.org/10.1016/j.patrec.2011.04.008openalex-snapshot

Bagging-based spectral clustering ensemble selection

inferredcites →https://doi.org/10.1016/s0004-3702(97)00063-5openalex-snapshot

Selection of relevant features and examples in machine learning

inferredcites →https://doi.org/10.1023/a:1009982220290openalex-snapshot

An Evaluation of Statistical Approaches to Text Categorization

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Statistical pattern recognition: a review

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Parameterisation of a stochastic model for human face identification

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Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001

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Multiobjective data clustering

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Double indices induced FCM clustering and its integration with fuzzy subspace clustering

inferredcites →https://doi.org/10.1109/icdm.2015.145openalex-snapshot

Weighted Spectral Cluster Ensemble

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Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics

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Using diversity in cluster ensembles

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WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory

inferredcites →https://doi.org/10.1109/tkde.2010.112openalex-snapshot

Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations

inferredcites →https://doi.org/10.1109/tkde.2014.2316512openalex-snapshot

K-Means-Based Consensus Clustering: A Unified View

inferredcites →https://doi.org/10.1109/tkde.2015.2429133openalex-snapshot

Fusing Monotonic Decision Trees

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Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation

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Space Structure and Clustering of Categorical Data

inferredcites →https://doi.org/10.1109/tpami.2003.1240115openalex-snapshot

Bagging for path-based clustering

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/tpami.2006.226openalex-snapshot

Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization

inferredcites →https://doi.org/10.1109/tpami.2011.84openalex-snapshot

A Link-Based Approach to the Cluster Ensemble Problem

inferredcites →https://doi.org/10.1109/waina.2010.40openalex-snapshot

A New Over-Sampling Method Based on Cluster Ensembles

inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot

Clustering by Passing Messages Between Data Points

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Detecting Novel Associations in Large Data Sets

inferredcites →https://doi.org/10.1137/1.9781611972788.72openalex-snapshot

Weighted Consensus Clustering

inferredcites →https://doi.org/10.1145/1015330.1015414openalex-snapshot

Solving cluster ensemble problems by bipartite graph partitioning

inferredcites →https://doi.org/10.1145/1217299.1217303openalex-snapshot

Clustering aggregation

inferredcites →https://doi.org/10.1145/1297332.1297338openalex-snapshot

Assessing data mining results via swap randomization

inferredcites →https://doi.org/10.1145/2601435openalex-snapshot

An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning

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A Framework for Hierarchical Ensemble Clustering

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A multiplex-network based approach for clustering ensemble selection

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10.1162/153244303321897735

inferredcites →https://doi.org/10.3233/ida-140647openalex-snapshot

Cluster ensemble selection based on a new cluster stability measure1

What points at this work

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

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Improving Quality of Ensemble Technique for Categorical Data Clustering Using Granule Computing

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Learning with mitigating random consistency from the accuracy measure

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Clustering ensemble extraction: a knowledge reuse framework

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Safe semi-supervised learning: a brief introduction

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Clustering mixed type data: a space structure-based approach

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Predicting the Duration of Traffic Incidents for Sydney Greater Metropolitan Area using Machine Learning Methods

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Clustering ensemble based on sample's stability

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Clustering ensemble based on approximate accuracy of the equivalence granularity

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SpecRp: A spectral-based community embedding algorithm

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An ensemble hierarchical clustering algorithm based on merits at cluster and partition levels

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A New Cluster Validity Index for Stock Clustering Based on Efficient Frontier

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Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework

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Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation

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Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering

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How Relation Enrichment Improves Clustering Ensemble Performance: A Second Order Induced Relation View

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Traffic Incident Duration Prediction: A Systematic Review of Techniques

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GoT: a Growing Tree Model for Clustering Ensemble

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DCE-IVI: Density-based clustering ensemble by selecting internal validity index

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A New Cluster Validity Index Based on Local Density of Data Points

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A Quantitative Social Network Analysis of the Character Relationships in the Mahabharata

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Flow-Based Community Search Approach for Functionally Cohesive Building Group Recognition: A Case Study on Commercial Complexes

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Exhaustive Exploitation of Local Seeding Algorithms for Community Detection in a Unified Manner

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