Classifying data patterns of a time series
Γρηγόρης Γεωργίου, Bon K. Sy · 2002
Deals with the problem of partitioning time series data into equivalence classes such that each class contains data blocks of similar patterns. The authors discuss the issue of similarity and the metrics involved in the derivation of equivalence classes. Four algorithms are discussed along with the results of their performance on stock data.