High-dimensional clustering using frequency sensitive competitive learning

Pattern Recognition ◽

10.1016/s0031-3203(98)00136-8 ◽

1999 ◽

Vol 32 (2) ◽

pp. 193-202 ◽

Author(s):

P. Scheunders ◽

S. De Backer

Keyword(s):

Competitive Learning ◽

High Dimensional ◽

High Dimensional Clustering

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Open set diagnosis: high-dimensional clustering

10.1109/med51440.2021.9480254 ◽

2021 ◽

Author(s):

M. Amine Atoui ◽

Vincent Cocquempot

Keyword(s):

High Dimensional ◽

Open Set ◽

High Dimensional Clustering

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Using Novel High-dimensional Clustering Approach to Evaluate Suppliers

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol4.issue22.95 ◽

2012 ◽

Vol 4 (22) ◽

pp. 771-778 ◽

Author(s):

Peixin Zhao ◽

CunQuan Zhang

Keyword(s):

High Dimensional ◽

Clustering Approach ◽

High Dimensional Clustering

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Frequency sensitive competitive learning for clustering on high-dimensional hyperspheres

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

10.1109/ijcnn.2002.1007755 ◽

2003 ◽

Author(s):

A. Banerjee ◽

J. Ghosh

Keyword(s):

Competitive Learning ◽

High Dimensional

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Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models

Image and Vision Computing ◽

10.1016/j.imavis.2014.10.011 ◽

2015 ◽

Vol 34 ◽

pp. 27-41 ◽

Author(s):

Tarek Elguebaly ◽

Nizar Bouguila

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

High Dimensional ◽

High Dimensional Clustering

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Accelerating high-dimensional clustering with lossless data reduction

Bioinformatics ◽

10.1093/bioinformatics/btx328 ◽

2017 ◽

Vol 33 (18) ◽

pp. 2867-2872 ◽

Author(s):

Bahjat F Qaqish ◽

Jonathon J O’Brien ◽

Jonathan C Hibbard ◽

Katie J Clowers

Keyword(s):

Data Reduction ◽

High Dimensional ◽

High Dimensional Clustering

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A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection

Expert Systems with Applications ◽

10.1016/j.eswa.2011.12.038 ◽

2012 ◽

Vol 39 (7) ◽

pp. 6641-6656 ◽

Author(s):

Nizar Bouguila ◽

Khaled Almakadmeh ◽

Sabri Boutemedjet

Keyword(s):

Feature Selection ◽

Mixture Model ◽

Finite Mixture Model ◽

Finite Mixture ◽

High Dimensional ◽

Outlier Rejection ◽

High Dimensional Clustering

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Groupwise morphometric analysis based on high dimensional clustering

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops ◽

10.1109/cvprw.2010.5543438 ◽

2010 ◽

Author(s):

Dong Hye Ye ◽

Kilian M. Pohl ◽

Harold Litt ◽

Christos Davatzikos

Keyword(s):

Morphometric Analysis ◽

High Dimensional ◽

High Dimensional Clustering

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High-Dimensional Clustering

Encyclopedia of Database Systems ◽

10.1007/978-0-387-39940-9_2763 ◽

2009 ◽

pp. 1314-1314

Keyword(s):

High Dimensional ◽

High Dimensional Clustering

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Variable selection for model-based high-dimensional clustering

Prediction and Discovery - Contemporary Mathematics ◽

10.1090/conm/443/08562 ◽

2007 ◽

pp. 177-192

Author(s):

Sijian Wang ◽

Ji Zhu

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Model Based ◽

Selection For ◽

High Dimensional Clustering

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Exploratory text mining algorithm based on high-dimensional clustering

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00988 ◽

2013 ◽

Vol 33 (4) ◽

pp. 988-990

Author(s):

Aike ZHANG ◽

Baolong FU

Keyword(s):

Text Mining ◽

High Dimensional ◽

Mining Algorithm ◽

High Dimensional Clustering

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