Identification of relevant subtypes via preweighted sparse clustering

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2017.06.003 ◽

2017 ◽

Vol 116 ◽

pp. 139-154 ◽

Cited By ~ 1

Author(s):

Sheila Gaynor ◽

Eric Bair

Keyword(s):

Sparse Clustering

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VFSC: A Very Fast Sparse Clustering to Cluster Faces from Videos

Computer Vision – ACCV 2016 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54427-4_31 ◽

2017 ◽

pp. 417-433

Author(s):

Dinh-Luan Nguyen ◽

Minh-Triet Tran

Keyword(s):

Sparse Clustering

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A joint sparse clustering and classification approach with applications to hospitalization prediction

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7798964 ◽

2016 ◽

Cited By ~ 3

Author(s):

Tingting Xu ◽

Theodora S. Brisimi ◽

Taiyao Wang ◽

Wuyang Dai ◽

Ioannis Ch. Paschalidis

Keyword(s):

Classification Approach ◽

Clustering And Classification ◽

Sparse Clustering

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Analysis of integrated energy‐load characteristics based on sparse clustering and compressed sensing

IET Energy Systems Integration ◽

10.1049/iet-esi.2018.0038 ◽

2019 ◽

Vol 1 (3) ◽

pp. 194-201 ◽

Cited By ~ 1

Author(s):

He Wang ◽

Yongshan Hou ◽

Huanan Yu

Keyword(s):

Compressed Sensing ◽

Load Characteristics ◽

Sparse Clustering

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Approach of outlier mining based on high dimension sparse clustering

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) ◽

10.1109/aimsec.2011.6010420 ◽

2011 ◽

Author(s):

Chen Baoguo

Keyword(s):

High Dimension ◽

Outlier Mining ◽

Sparse Clustering

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A sparse fuzzy c-means algorithm based on sparse clustering framework

Neurocomputing ◽

10.1016/j.neucom.2015.01.003 ◽

2015 ◽

Vol 157 ◽

pp. 290-295 ◽

Cited By ~ 14

Author(s):

Xianen Qiu ◽

Yanyi Qiu ◽

Guocan Feng ◽

Peixing Li

Keyword(s):

Fuzzy C Means ◽

Fuzzy C Means Algorithm ◽

Sparse Clustering

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Spatial segmentation and feature selection for desi imaging mass spectrometry data with spatially-aware sparse clustering

BMC Bioinformatics ◽

10.1186/1471-2105-13-s18-a8 ◽

2012 ◽

Vol 13 (S18) ◽

Cited By ~ 2

Author(s):

Kyle D Bemis ◽

Livia Eberlin ◽

Christina Ferreira ◽

R Graham Cooks ◽

Olga Vitek

Keyword(s):

Mass Spectrometry ◽

Feature Selection ◽

Imaging Mass Spectrometry ◽

Mass Spectrometry Data ◽

Spatial Segmentation ◽

Selection For ◽

Imaging Mass Spectrometry Data ◽

Sparse Clustering

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A simple approach to sparse clustering

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2016.08.003 ◽

2017 ◽

Vol 105 ◽

pp. 217-228 ◽

Cited By ~ 6

Author(s):

Ery Arias-Castro ◽

Xiao Pu

Keyword(s):

Simple Approach ◽

Sparse Clustering

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A Sparse Clustering Model of Wireless Communication Networks

2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing ◽

10.1109/imis.2012.113 ◽

2012 ◽

Author(s):

Wei-Shuo Li ◽

Chun-Wei Tsai ◽

Jong-Hyouk Lee ◽

Wen-Shyong Hsieh

Keyword(s):

Wireless Communication ◽

Communication Networks ◽

Wireless Communication Networks ◽

Clustering Model ◽

Sparse Clustering

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Biclustering via sparse clustering

Biometrics ◽

10.1111/biom.13136 ◽

2019 ◽

Vol 76 (1) ◽

pp. 348-358 ◽

Cited By ~ 2

Author(s):

Erika S. Helgeson ◽

Qian Liu ◽

Guanhua Chen ◽

Michael R. Kosorok ◽

Eric Bair

Keyword(s):

Sparse Clustering

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Sparse clustering with resampling for subject classification in PET amyloid imaging studies

2011 IEEE Nuclear Science Symposium Conference Record ◽

10.1109/nssmic.2011.6152564 ◽

2011 ◽

Author(s):

Wenzhu Bi ◽

George C. Tseng ◽

Lisa A. Weissfeld ◽

Julie C. Price

Keyword(s):

Amyloid Imaging ◽

Subject Classification ◽

Imaging Studies ◽

Pet Amyloid ◽

Sparse Clustering

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