Table 3 Clustering using the Victor–Purpura metric. In the first column, the transmitted information $\tilde{h}$, averaged over all 183 cells, is given for clustering using the Victor–Purpura metric. Here, the central spike train has been calculated in the same way as it has elsewhere, but everything else is calculated using the Victor–Purpura metric; in particular, the medoid is the Victor–Purpura medoid and the clustering performed to calculate the confusion matrix, and hence the transmitted information, depends on the Victor–Purpura distances. As before, central gives results for the central spike train, medoid for the medoid and (all $z=-2$) and (all $z=1$) use the average weighted and unweighted distances. The function average is not considered in this case since calculating the distance to the function average would involve extending the Victor–Purpura metric to deal with an object of this sort. The second column gives the fraction of cells for which $\tilde{h}$ for the other three clustering methods is larger than $\tilde{h}$ for the central clustering, the third column shows the average relative value calculated for each method with the one-sigma variation in this number

From: A Simple Algorithm for Averaging Spike Trains