LPStimeSeries (1.0-5)

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Learned Pattern Similarity and Representation for Time Series.


Learned Pattern Similarity (LPS) for time series. Implements a novel approach to model the dependency structure in time series that generalizes the concept of autoregression to local auto-patterns. Generates a pattern-based representation of time series along with a similarity measure called Learned Pattern Similarity (LPS). Introduces a generalized autoregressive kernel.This package is based on the 'randomForest' package by Andy Liaw.

Maintainer: Mustafa Gokce Baydogan
Author(s): Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan

License: GPL (>= 2)

Uses: Does not use any package

Released over 4 years ago.

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