Suchergebnisse - "Sparse clustering"

Estimation of genetic admixture proportions via haplotypes

Autoren: Ko, Seyoon Sobel, Eric M Zhou, Hua et al.

Quelle: Computational and Structural Biotechnology Journal. 23

Schlagwörter: 31 Biological Sciences (for-2020), 3105 Genetics (for-2020), Genetics (rcdc), Human Genome (rcdc), 2.5 Research design and methodologies (aetiology) (hrcs-rac), Generic health relevance (hrcs-hc), Admixture, Ancestry informative marker, Sparse clustering, OpenMendel, Admixture, Ancestry informative marker, OpenMendel, Sparse clustering, 0103 Numerical and Computational Mathematics (for), 0802 Computation Theory and Mathematics (for), 3101 Biochemistry and cell biology (for-2020), 4601 Applied computing (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/7kk6x6j8
https://escholarship.org/content/qt7kk6x6j8/qt7kk6x6j8.pdf

Unsupervised discovery of ancestry-informative markers and genetic admixture proportions in biobank-scale datasets

Autoren: Ko, Seyoon Chu, Benjamin B Peterson, Daniel et al.

Quelle: American Journal of Human Genetics. 110(2)

Schlagwörter: Biological Sciences, Genetics, Human Genome, Networking and Information Technology R&D (NITRD), Generic health relevance, Humans, Genome-Wide Association Study, Likelihood Functions, Biological Specimen Banks, Population Groups, Software, Genetics, Population, AIM, OpenADMIXTURE, OpenMendel, SKFR, admixture, ancestry-informative marker, biobank scale, genetic ancestry, sparse K-means with feature ranking, sparse clustering, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/7r93731g
https://escholarship.org/content/qt7r93731g/qt7r93731g.pdf

Estimation of Genetic Admixture Proportions via Haplotypes

Autoren: Seyoon Ko Eric M. Sobel Hua Zhou et al.

Quelle: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 23, Iss, Pp 4384-4395 (2024)
Computational and Structural Biotechnology Journal, vol 23

Schlagwörter: Admixture, Sparse clustering, OpenMendel, Ancestry informative marker, 3105 Genetics (for-2020), 0103 Numerical and Computational Mathematics (for), 2.5 Research design and methodologies (aetiology), Genetics, 3101 Biochemistry and cell biology (for-2020), Numerical and Computational Mathematics, 31 Biological Sciences (for-2020), Genetics (rcdc), 4601 Applied computing (for-2020), Human Genome, Generic health relevance (hrcs-hc), Applied computing, 2.5 Research design and methodologies (aetiology) (hrcs-rac), 0802 Computation Theory and Mathematics (for), Computation Theory and Mathematics, Biological Sciences, Human Genome (rcdc), Biochemistry and cell biology, Generic health relevance, TP248.13-248.65, Biotechnology, Research Article

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39737076
https://doaj.org/article/45324d9cc0ab4703a468b648e72a2a22
https://escholarship.org/uc/item/7kk6x6j8
https://escholarship.org/content/qt7kk6x6j8/qt7kk6x6j8.pdf

Proximal Operators of Sorted Nonconvex Penalties

Autoren: Gagneux, Anne Massias, Mathurin Soubies, Emmanuel et al.

Weitere Verfasser: Gagneux, Anne Massias, Mathurin Soubies, Emmanuel et al.

Quelle: https://inria.hal.science/hal-05338351 ; 2025.

Schlagwörter: nonconvex optimization penalty regularization sparse clustering, nonconvex optimization, penalty, regularization, sparse, clustering, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Verfügbarkeit: https://inria.hal.science/hal-05338351
https://inria.hal.science/hal-05338351v1/document
https://inria.hal.science/hal-05338351v1/file/prox_nonsorted.pdf

Computational lower bounds in latent models: clustering, sparse-clustering, biclustering

Autoren: Even, Bertrand Giraud, Christophe Verzelen, Nicolas et al.

Weitere Verfasser: Even, Bertrand Giraud, Christophe Verzelen, Nicolas et al.

Quelle: https://hal.science/hal-05116284 ; 2025.

Schlagwörter: sparse-clustering, Statistical-computational tradeoffs, Low-degree polynomials, Clustering, Gaussian mixtures, Biclustering, MSC2020 subject classifications: Primary 62H30, 68Q17, [MATH]Mathematics [math]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2506.13647; ARXIV: 2506.13647

Verfügbarkeit: https://hal.science/hal-05116284
https://hal.science/hal-05116284v1/document
https://hal.science/hal-05116284v1/file/LowDegreeConditioning.pdf

Unsupervised Discovery of Ancestry Informative Markers and Genetic Admixture Proportions in Biobank-Scale Data Sets

Autoren: Seyoon Ko Benjamin B. Chu Daniel Peterson et al.

Quelle: Am J Hum Genet
American Journal of Human Genetics, vol 110, iss 2

Schlagwörter: 0301 basic medicine, Biomedical and clinical sciences, Population, OpenMendel, Medical and Health Sciences, Article, ancestry-informative marker, 03 medical and health sciences, Population Groups, SKFR, Genetics, biobank scale, AIM, Humans, sparse K-means with feature ranking, Biological Specimen Banks, Genetics & Heredity, Likelihood Functions, 0303 health sciences, Human Genome, Health sciences, OpenADMIXTURE, Biological Sciences, genetic ancestry, sparse clustering, Biological sciences, Genetics, Population, Networking and Information Technology R&D (NITRD), admixture, Generic health relevance, Software, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36610401
https://escholarship.org/uc/item/7r93731g
https://escholarship.org/content/qt7r93731g/qt7r93731g.pdf

Sparse Weighted K-Means for Groups of Mixed-Type Variables

Autoren: Chavent, Marie Olteanu, Madalina Cottrell, Marie et al.

Weitere Verfasser: Chavent, Marie Olteanu, Madalina Cottrell, Marie et al.

Schlagwörter: feature selection, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], variable importance, MESH: Sparse clustering, [STAT.CO]Statistics [stat]/Computation [stat.CO], [STAT.CO] Statistics [stat]/Computation [stat.CO], feature clustering, group of features selection, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML]

Zugangs-URL: https://hal.science/hal-03827823v1
https://doi.org/10.1007/978-3-031-15444-7

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data

Autoren: Wang, Minjie Allen, Genevera I.

Schlagwörter: Integrative clustering, clustering, feature selection, convex optimization, sparse clustering, GLM deviance, Bregman divergences

Dateibeschreibung: application/pdf

Relation: https://jmlr.org/papers/v22/19-1012.html; Wang, Minjie and Allen, Genevera I. "Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data." Journal of Machine Learning Research, 22, (2021) JMLR: 1-73. https://hdl.handle.net/1911/110650 .; https://hdl.handle.net/1911/110650

Verfügbarkeit: https://hdl.handle.net/1911/110650

Sparse Weighted K-Means for Groups of Mixed-Type Variables

Autoren: Chavent, Marie Olteanu, Madalina Cottrell, Marie et al.

Schlagwörter: Sparse clustering, Feature clustering, Feature selection, Group of features selection, Variable importance, Probabilités et mathématiques appliquées

Time: 519

Relation: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization; Jan Faigl, Madalina Olteanu, Jan Drchal; Springer International Publishing; Berlin Heidelberg; 119; 14th International Workshop, WSOM+ 2022; 2022-07; Prague; Czech Republic; non; https://basepub.dauphine.psl.eu/handle/123456789/23947

Verfügbarkeit: https://basepub.dauphine.psl.eu/handle/123456789/23947
https://doi.org/10.1007/978-3-031-15444-7_1

RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm

Autoren: Yumi Kondo Matias Salibian-Barrera Ruben Zamar

Quelle: Journal of Statistical Software, Vol 72, Iss 1, Pp 1-26 (2016)

Schlagwörter: K-means, robust clustering, sparse clustering, trimmed K-means, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/2816; https://doaj.org/toc/1548-7660

Zugangs-URL: https://doaj.org/article/f3f2e6c0004649289e7ccf03efed263b

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data

Autoren: Wang, Minjie Allen, Genevera I.

Quelle: Journal of machine learning research : JMLR. 22

Schlagwörter: Methodology (stat.ME), FOS: Computer and information sciences, feature selection, convex optimization, Statistics - Machine Learning, convex clustering, GLM deviance, Machine Learning (stat.ML), Bregman divergences, Integrative clustering, sparse clustering, Statistics - Methodology, clustering

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34744522
http://arxiv.org/abs/1912.05449

Image Segmentation by Unsupervised Sparse Clustering

Autoren: Jeon, BK Jung, YB Hong, KS et al.

Weitere Verfasser: Jeon, BK Jung, YB Hong, KS et al.

Quelle: 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1. :2-7

Schlagwörter: positiveness, binary tree, model selection, 4. Education, segmentation, MATRIX FACTORIZATION, intra- and inter-cluster measures, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land, 16. Peace & justice, sparse clustering

Zugangs-URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004129452
https://www.computer.org/csdl/proceedings-article/wacv-motion/2005/227110002/12OmNwG90fM
http://ui.adsabs.harvard.edu/abs/2006PaReL..27.1650J/abstract
http://ieeexplore.ieee.org/document/4129452/
http://dblp.uni-trier.de/db/journals/prl/prl27.html#JeonJH06
https://oasis.postech.ac.kr/handle/2014.oak/23818
https://dblp.uni-trier.de/db/conf/wacv/wacv2005.html#JeonJH05

Image segmentation by unsupervised sparse clustering

Autoren: Byoung-ki Jeon Yun-beom Jung Ki-sang Hong et al.

Weitere Verfasser: Byoung-ki Jeon Yun-beom Jung Ki-sang Hong et al.

Quelle: http://iip.postech.ac.kr/newarchive/papers/ijournal/[PRL 2006] Image Segmentation by Unsupervised Sparse Clustering.pdf.

Schlagwörter: Segmentation, Positiveness, Sparse clustering, Binary tree, Model selection, Intra- and inter-cluster measures

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.1622; http://iip.postech.ac.kr/newarchive/papers/ijournal/[PRL 2006] Image Segmentation by Unsupervised Sparse Clustering.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.1622
http://iip.postech.ac.kr/newarchive/papers/ijournal/[PRL 2006] Image Segmentation by Unsupervised Sparse Clustering.pdf

Image segmentation by unsupervised sparse clustering

Autoren: Jeon, BK Jung, YB Hong, KS et al.

Weitere Verfasser: Jeon, BK Jung, YB Hong, KS et al.

Schlagwörter: segmentation, positiveness, sparse clustering, binary tree, model selection, intra- and inter-cluster measures, MATRIX FACTORIZATION

Relation: PATTERN RECOGNITION LETTERS; 27; 14; 1650; 1664; SCI급, SCOPUS 등재논문; SCIE; Computer Science, Artificial Intelligence; Computer Science; https://oasis.postech.ac.kr/handle/2014.oak/23818; 6664; 000240643200007

Verfügbarkeit: https://oasis.postech.ac.kr/handle/2014.oak/23818
https://doi.org/10.1016/j.patrec.2006.03.011

稀疏聚类方法在中国股票市场中的应用研究 ; The Application of Sparse Clustering Algorithm in Chinese Stock Market

Autoren: 张悦涵 谢邦昌

Weitere Verfasser: 张悦涵 谢邦昌

Quelle: http://210.34.4.13:8080/lunwen/detail.asp?serial=57564.

Schlagwörter: 变量选择, 稀疏聚类, 股票市场, Feature selection, Sparse Clustering, Stock Market

Relation: http://210.34.4.28/opac/openlink.php?strText=51715&doctype=ALL&strSearchType=callno; http://dspace.xmu.edu.cn/handle/2288/130700

Verfügbarkeit: http://dspace.xmu.edu.cn/handle/2288/130700

NON-PARAMETRIC MACHINE LEARNING METHODS FOR CLUSTERING AND VARIABLE SELECTION

Autoren: Liu, Qian Gillings School of Global Public Health, Department of Biostatistics Kosorok, Michael et al.

Weitere Verfasser: Liu, Qian Gillings School of Global Public Health, Department of Biostatistics Kosorok, Michael et al.

Schlagwörter: Biometry, random forest, biclustering, variable importance, sparse clustering, stat, manag

Relation: https://doi.org/10.17615/swym-w286

Verfügbarkeit: https://doi.org/10.17615/swym-w286

Sparse Clustering and Regression Models for High-Dimensional Kidney Transplant Patient Data

Autoren: Tebäck, Maiya

Index Begriffe: kidney transplantation, sparsity, sparse regression, sparse clustering, Mathematics and Statistics, H2

URL: http://lup.lub.lu.se/student-papers/record/9202216

Optimizing clustering-based analytical methods with trimmed and sparse clustering.

Autoren: Bernabé-Díaz JA Franco M Vivo JM et al.

Quelle: Computers in biology and medicine [Comput Biol Med] 2025 Aug; Vol. 194, pp. 110436. Date of Electronic Publication: 2025 Jun 16.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

MeSH-Schlagworte: Computational Biology*/methods , Gene Expression Profiling*/methods, Cluster Analysis ; Humans ; Algorithms

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data.

Autoren: Wang M Allen GI

Quelle: Journal of machine learning research : JMLR [J Mach Learn Res] 2021 Jan; Vol. 22.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: MIT Press Country of Publication: United States NLM ID: 101262635 Publication Model: Print Cited Medium: Print ISSN: 1532-4435 (Print) Linking ISSN: 15324435 NLM ISO Abbreviation: J Mach Learn Res Subsets: PubMed not MEDLINE

Biclustering via sparse clustering.

Autoren: Helgeson ES Liu Q Chen G et al.

Quelle: Biometrics [Biometrics] 2020 Mar; Vol. 76 (1), pp. 348-358. Date of Electronic Publication: 2019 Oct 14.

Publikationsart: Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE

MeSH-Schlagworte: Algorithms* , Cluster Analysis*, Biometry/*methods , Disease/*classification , Disease/*etiology, Analysis of Variance ; Computer Simulation ; Data Interpretation, Statistical ; Humans ; Models, Statistical ; Normal Distribution ; Software ; Temporomandibular Joint Disorders/classification ; Temporomandibular Joint Disorders/etiology