A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between clusters of elements. The method is applied to the financial time series of the Dow Jones industrial average (DJIA) index to find companies that share a similar behavior. Comparisons are made with other linkage algorithms.
Hausdorff clustering of financial time series
BELLOTTI, Roberto;FACCHI, PAOLO;Pantaleo E;PASCAZIO, Saverio
2007-01-01
Abstract
A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between clusters of elements. The method is applied to the financial time series of the Dow Jones industrial average (DJIA) index to find companies that share a similar behavior. Comparisons are made with other linkage algorithms.File in questo prodotto:
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