Research Article
A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis
Figure 7
Comparison of classification accuracy on the simulate data sets with the benchmark -means method. (a) Example of projections of the same data set (i.e., number 10 of Figure 2) in each FE space and results of -means clustering of the features. Spikes are colored according to the real label. Superimposed circles are the clusters found by -means. (b) Classification accuracy values for the 36 simulated signals.
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