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Connection

Yuan Ji to Cluster Analysis

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This is a "connection" page, showing publications Yuan Ji has written about Cluster Analysis.
Yuan Ji
Connection Strength
0.492
Cluster Analysis
  1. Heterogeneous reciprocal graphical models. Biometrics. 2018 06; 74(2):606-615.
    View in: PubMed
    Score: 0.138
  2. Clustering distributions with the marginalized nested Dirichlet process. Biometrics. 2018 06; 74(2):584-594.
    View in: PubMed
    Score: 0.138
  3. A Nonparametric Bayesian Model for Nested Clustering. Methods Mol Biol. 2016; 1362:129-41.
    View in: PubMed
    Score: 0.122
  4. A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples. Bioinformatics. 2005 Apr 01; 21(7):1055-61.
    View in: PubMed
    Score: 0.056
  5. A Bayesian random partition model for sequential refinement and coagulation. Biometrics. 2019 09; 75(3):988-999.
    View in: PubMed
    Score: 0.038
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.