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2 Matching Annotations
  1. Jun 2020
  2. arxiv.org arxiv.org
    Clustering - What Both Theoreticians and Practitioners are Doing Wrong
    1
    1. ErikStuchly 25 Jun 2020
      in BehSci

      Ben-David, S. (2018). Clustering—What Both Theoreticians and Practitioners are Doing Wrong. ArXiv:1805.08838 [Cs, Stat]. http://arxiv.org/abs/1805.08838

      is:article lang:en cluster clustering tool machine learning unsupervised learning theory practice algorithm parameter computational task optimization model selection
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    Tags

    • is:article
    • cluster
    • unsupervised learning
    • clustering tool
    • machine learning
    • practice
    • model selection
    • parameter
    • lang:en
    • theory
    • optimization
    • computational task
    • algorithm

    Annotators

    • ErikStuchly

    URL

    arxiv.org/abs/1805.08838
  3. Nov 2017
  4. bmcbioinformatics.biomedcentral.com bmcbioinformatics.biomedcentral.com
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    1
    1. rschulz 06 Nov 2017
      in Public
      AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
      clustering SOM AutoSOME analysis-tool
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    Tags

    • clustering
    • analysis-tool
    • SOM
    • AutoSOME

    Annotators

    • rschulz

    URL

    bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-117
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