Difference among clustering, ANOVA and Classification

Clustering is related to find potential groups in a data set. Before clustering, we don't know whether the data belong to different groups or not;

ANOVA is to determine whether some measure is different between two or multiple groups of data;

Classification is to assign a new case to one of known groups according to the available data set.