R: Cross-correlation with coefficient normalization

NCCc {dtwclust} | R Documentation

## Cross-correlation with coefficient normalization

### Description

This function uses the FFT to compute the cross-correlation sequence between two series. They need not be of equal length.

### Usage

    NCCc(x, y, error.check = TRUE)

### Arguments

`x, y` | Univariate time series.
`error.check` | Logical indicating whether the function should try to detect inconsistencies and give more informative errors messages. Also used internally to avoid repeating checks.

### Value

The cross-correlation sequence with length `length(x) + length(y) - 1L`.

### References

Paparrizos J and Gravano L (2015). “k-Shape: Efficient and Accurate Clustering of Time Series.” In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, series SIGMOD '15, pp. 1855-1870. ISBN 978-1-4503-2758-9, doi: 10.1145/2723372.2737793.

### See Also

`SBD()`

[Package dtwclust version 5.5.7 Index]