Results 211 to 220 of about 795,774 (269)
Prognostic Biomarkers in Breast Cancer via Multi-Omics Clustering Analysis. [PDF]
Int J Mol SciMalighetti F +11 more
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Epidemiological and Spatiotemporal Clustering Analysis of Human Brucellosis - China, 2019-2023. [PDF]
China CDC WklyLiu Z +5 more
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Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients. [PDF]
BMC Oral HealthPaddenberg-Schubert E +10 more
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Introduction to cluster analysis and classification: Performing clustering
, 2018 openaire +2 more sources
Introduction to cluster analysis and classification: Evaluating clustering
, 2018 openaire +2 more sources
Introduction to cluster analysis and classification: Formalizing clustering
, 2018 openaire +2 more sources
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
Cluster analysis is concerned with the problem of partitioning a given set of entities into homogeneous and well-separated subsets called clusters. The concepts of homogeneity and of separation can be made precise when a measure of dissimilarity between the entities is given.
Michel Delattre, Pierre Hansen
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Cluster analysis is concerned with the problem of partitioning a given set of entities into homogeneous and well-separated subsets called clusters. The concepts of homogeneity and of separation can be made precise when a measure of dissimilarity between the entities is given.
Michel Delattre, Pierre Hansen
openaire +2 more sources
Comprehensive cluster analysis with Transitivity Clustering
Nature Protocols, 2011Transitivity Clustering is a method for the partitioning of biological data into groups of similar objects, such as genes, for instance. It provides integrated access to various functions addressing each step of a typical cluster analysis. To facilitate this, Transitivity Clustering is accessible online and offers three user-friendly interfaces: a ...
Wittkop, T. +5 more
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Veterinary Immunology and Immunopathology, 1996
Cluster analysis was performed on flow cytometry data generated from the reactivities of the 302 workshop monoclonal antibodies with 36 target cell preparations. The antibodies were assigned to 42 preliminary clusters that were subjected to further examination in subsequent stages of the workshop.
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Cluster analysis was performed on flow cytometry data generated from the reactivities of the 302 workshop monoclonal antibodies with 36 target cell preparations. The antibodies were assigned to 42 preliminary clusters that were subjected to further examination in subsequent stages of the workshop.
openaire +2 more sources