Complete linkage

Results: 40



#Item
21Classical clustering methods. Attempt to identify groups of observations that are similar with respect to a certain number of variables. Similarity is “metric”: proximity, given some distance, in a space where observ

Classical clustering methods. Attempt to identify groups of observations that are similar with respect to a certain number of variables. Similarity is “metric”: proximity, given some distance, in a space where observ

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Source URL: globin.cse.psu.edu

Language: English - Date: 2002-02-14 09:01:05
22Cluster analysis for cognitive diagnosis: An application to the 2001 PIRLS reading assessment Chia-Yi Chiu Department of Educational Psychology, Rutgers University, New Brunswick, New Jersey, United States of America

Cluster analysis for cognitive diagnosis: An application to the 2001 PIRLS reading assessment Chia-Yi Chiu Department of Educational Psychology, Rutgers University, New Brunswick, New Jersey, United States of America

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Source URL: www.ierinstitute.org

Language: English - Date: 2012-01-04 07:01:18
23Cluster Analysis for Cognitive Diagnosis by Chia-Yi Chiu  Cluster Analysis for Cognitive Diagnosis: An Application to the 2001 PIRLS Reading Assessment Chia-Yi Chiu, Rutgers, The State University of New Jersey, chia-yi.c

Cluster Analysis for Cognitive Diagnosis by Chia-Yi Chiu Cluster Analysis for Cognitive Diagnosis: An Application to the 2001 PIRLS Reading Assessment Chia-Yi Chiu, Rutgers, The State University of New Jersey, chia-yi.c

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Source URL: www.iea.nl

Language: English - Date: 2011-08-10 09:26:30
24An Introduction to Rclusterpp Michael Linderman Rclusterpp version[removed]as of November 6, 2013 Abstract The Rclusterpp package provides alternative implementations for common geometric hierarchical clustering algori

An Introduction to Rclusterpp Michael Linderman Rclusterpp version[removed]as of November 6, 2013 Abstract The Rclusterpp package provides alternative implementations for common geometric hierarchical clustering algori

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 10:23:43
25International Linkage Proposal Form • Thank you for your commitment to internationalizing UAlberta. Complete this form to propose a formal linkage between the University of Alberta and an international institution. •

International Linkage Proposal Form • Thank you for your commitment to internationalizing UAlberta. Complete this form to propose a formal linkage between the University of Alberta and an international institution. •

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Source URL: www.international.ualberta.ca

Language: English - Date: 2014-04-11 13:51:38
26Review  About PAR: The distinct evolutionary dynamics of the pseudoautosomal region Sarah P. Otto1, John R. Pannell2, Catherine L. Peichel3, Tia-Lynn Ashman4,

Review About PAR: The distinct evolutionary dynamics of the pseudoautosomal region Sarah P. Otto1, John R. Pannell2, Catherine L. Peichel3, Tia-Lynn Ashman4,

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Source URL: www.zoology.ubc.ca

Language: English - Date: 2012-12-14 10:54:09
27The American Journal of Human Genetics Vol. 9 No. 3 September 1957 The Problem of Complete Y-Linkage in Man1 CURT STERN

The American Journal of Human Genetics Vol. 9 No. 3 September 1957 The Problem of Complete Y-Linkage in Man1 CURT STERN

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Source URL: www.ncbi.nlm.nih.gov

Language: English
28GENOMIC3 1,[removed]EDITORIAL Toward a Complete Map of the Human Genome tion of alternative forms of each of the two DNA segments called loci is the means by which physical proximity of the loci is recognized (“

GENOMIC3 1,[removed]EDITORIAL Toward a Complete Map of the Human Genome tion of alternative forms of each of the two DNA segments called loci is the means by which physical proximity of the loci is recognized (“

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Source URL: profiles.nlm.nih.gov

Language: English - Date: 2008-10-23 09:34:50
29Robust Hierarchical Clustering  Maria Florina Balcan Georgia Institute of Technology School of Computer Science

Robust Hierarchical Clustering Maria Florina Balcan Georgia Institute of Technology School of Computer Science

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-03-08 12:53:19
30Efficient Clustering with Limited Distance Information  Konstantin Voevodski Dept. of Computer Science Boston University Boston, MA 02215

Efficient Clustering with Limited Distance Information Konstantin Voevodski Dept. of Computer Science Boston University Boston, MA 02215

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Source URL: www.cs.cmu.edu

Language: English - Date: 2010-06-12 07:54:23