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A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets.
Georgina Stegmayer
Diego H. Milone
Laura Kamenetzky
Mariana G. Lopez
Fernando Carrari
Published in:
IEEE ACM Trans. Comput. Biol. Bioinform. (2012)
Keyphrases
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biologically inspired
data sets
receptive fields
biologically plausible
similarity measure
potential field
learning rules
humanoid robot
spiking neural networks
colour image segmentation
biological systems
data points
scene classification
multiscale
moving objects
visual attention model