Open AccessA trainable clustering algorithm based on shortest paths from density peaks
Author(s) -
Diego Ulisse Pizzagalli,
Santiago González,
Rolf Krause
Publication year - 2019
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aax3770
Subject(s) - shortest path problem , computer science , cluster analysis , path (computing) , artificial intelligence , algorithm , pattern recognition (psychology) , data mining , theoretical computer science , graph , programming language
By considering knowledge as a path, machines and humans can collaboratively analyze complex biomedical datasets.
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