The goal of traditional clustering is to assign each data point to one and only one cluster. In contrast, fuzzy clustering assigns different degrees of membership to each point. The membership of a ...

While classification looks to assign observations to pre-specified categories using predictive modelling from apriori training data, cluster analysis looks to assign observations to categories without ...