Table 3

Performance of FSPS™ clustering/classification of datasets A and B with their respective quality measures
Parameter Value
Dataset A Dataset B
/clustering/ /classification/
Number of spikes processed 6191 6379
Average processing time (at our system), ms 684 ± 21 44 ± 1
Number of Steps 34 1
Training Error 0.00002 0.00002
Test Error 0.00000 0.00000
Partition Coefficient (PC) 0.99208 0.98411
Partition Entropy (PE) 0.01313 0.02667
Lratio Class 1 (blue) 2.478 2.504
Class 2 (green) 4.180 4.243
Class 3 (pink) 2.626 2.677
Class 4 (yellow) 0.493 0.500

Oliynyk et al.

Oliynyk et al. BMC Neuroscience 2012 13:96   doi:10.1186/1471-2202-13-96

Open Data