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Connection

James Griffith to Cluster Analysis

This is a "connection" page, showing publications James Griffith has written about Cluster Analysis.
Connection Strength

0.303
  1. Reply by Authors. J Urol. 2019 12; 202(6):1238-1239.
    View in: PubMed
    Score: 0.149
  2. Subtyping of common complex diseases and disorders by integrating heterogeneous data. Identifying clusters among women with lower urinary tract symptoms in the LURN study. PLoS One. 2022; 17(6):e0268547.
    View in: PubMed
    Score: 0.045
  3. Identification of traits and functional connectivity-based neurotraits of chronic pain. PLoS Biol. 2019 08; 17(8):e3000349.
    View in: PubMed
    Score: 0.037
  4. Symptom Based Clustering of Men in the LURN Observational Cohort Study. J Urol. 2019 12; 202(6):1230-1239.
    View in: PubMed
    Score: 0.037
  5. Symptom Based Clustering of Women in the LURN Observational Cohort Study. J Urol. 2018 12; 200(6):1323-1331.
    View in: PubMed
    Score: 0.034
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.