... as suggested, for example, in Alpay-din (1997), iterating only once over data rather thanwaiting for convergence. This will give us a smallerset of labeled data points, and therefore classifica-tion ... and removing elements byclass prediction strength are methods for removingdata points close to decision boundaries, CNN ide-49points are thus of the form (one data point or wordper line):JJ ... representatives for each clus-ter in the distribution of data, i.e. finding the pointsclosest to the center of each cluster. Ideally, CNNreturns one point for each cluster, namely the cen-ter of each...