An interpolated periodogram-based metric for comparison of time series with unequal lengths

We propose a periodogram-based metric for classification and clustering of time series with different sample sizes. For such cases, we know that the Euclidean distance between the periodogram ordinates cannot be used. One possible way to deal with this problem is to interpolate lineary one of the periodograms in order to estimate ordinates of the same frequencies.

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Year of publication:	2006
Authors:	Caiado, Jorge ; Crato, Nuno ; Peña, Daniel

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Caiado, Jorge and Crato, Nuno and Peña, Daniel (2006): An interpolated periodogram-based metric for comparison of time series with unequal lengths. Published in: Proceedings of the 2006 Joint Statistical Meetings, American Statistical Association
Classification:	C32 - Time-Series Models
Source:	BASE

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