SYSTEMS AND METHODS FOR STRUCTURAL CLUSTERING OF TIME SEQUENCES
First Claim
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1. An apparatus comprising:
- a processor; and
a program storage device readable by machine, tangibly embodying a program of instructions executable by the processor, the program of instructions comprising;
instructions for using a periodogram for extracting period candidates from time series input to the apparatus;
instructions for verifying the period candidates using an autocorrelation function (ACF);
wherein a period candidate is verified responsive to a determination that the period candidate resides on a hill of the ACF; and
instructions for identify a local maximum of a period candidate determined to reside on a hill.
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Abstract
Arrangements and methods for performing structural clustering between different time series. Time series data relating to a plurality of time series is accepted, structural features relating to the time series data are ascertained, and at least one distance between different time series via employing the structural features is determined. The different time series may be partitioned into clusters based on the at least one distance, and/or the k closest matches to a given time series query based on the at least one distance may be returned.
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Citations
8 Claims
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1. An apparatus comprising:
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a processor; and a program storage device readable by machine, tangibly embodying a program of instructions executable by the processor, the program of instructions comprising; instructions for using a periodogram for extracting period candidates from time series input to the apparatus; instructions for verifying the period candidates using an autocorrelation function (ACF); wherein a period candidate is verified responsive to a determination that the period candidate resides on a hill of the ACF; and instructions for identify a local maximum of a period candidate determined to reside on a hill. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification