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knnp : Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel) | ||
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First release has been developed as an End-of-Degree Project. | ||
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Purpose | ||
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This package intends to provide R users or anyone interested in the field of time series prediction the possibility of aplying the k-nearest neighbors algorithm to time series prediction problems. Two main functionalities are provided: | ||
- Time series prediction using this method. | ||
- Optimization of parameteres *k* and *d* of the algorithm. | ||
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All the code involved has been optimized to: | ||
- Parallelize critic components as the process of optimization of parameteres *k* and *d* or the calculation of distances. | ||
- Use memory efficiently. | ||
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Authors | ||
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- Daniel Bastarrica Lacalle | ||
- Javier Berdecio Trigueros | ||
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License | ||
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AGPL-3 |