title: A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data.
abstract: In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a user-defined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.
authors.affiliation: Department of Computing Science, University of Alberta, Edmonton, AB, Canada. rcampell@ualberta.ca
authors.forename: Ricardo J G B
authors.initials: RJ
authors.lastname: Campello
authors.forename: Davoud
authors.initials: D
authors.lastname: Moulavi
authors.forename: Jörg
authors.initials: J
authors.lastname: Sander
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D012984:Software