Research ArticleCOMPUTER SCIENCE
A trainable clustering algorithm based on shortest paths from density peaks
- 1Institute for Research in Biomedicine, Faculty of Biomedical Sciences, Università della Svizzera italiana, CH6500 Bellinzona, Switzerland.
- 2Institute of Computational Science, Università della Svizzera italiana, CH6900 Lugano, Switzerland.
- ↵*Corresponding author. Email: santiago.gonzalez{at}irb.usi.ch (S.F.G.); rolf.krause{at}usi.ch (R.K.)
↵† Co-last authors.
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Science Advances 30 Oct 2019:
Vol. 5, no. 10, eaax3770
DOI: 10.1126/sciadv.aax3770
Vol. 5, no. 10, eaax3770
DOI: 10.1126/sciadv.aax3770
Diego Ulisse Pizzagalli
Institute for Research in Biomedicine, Faculty of Biomedical Sciences, Università della Svizzera italiana, CH6500 Bellinzona, Switzerland.
Institute of Computational Science, Università della Svizzera italiana, CH6900 Lugano, Switzerland.
Santiago Fernandez Gonzalez
Institute of Computational Science, Università della Svizzera italiana, CH6900 Lugano, Switzerland.
Rolf Krause
Institute for Research in Biomedicine, Faculty of Biomedical Sciences, Università della Svizzera italiana, CH6500 Bellinzona, Switzerland.
