Paa: Paa
In shapelets/khiva-r: KHIVA-R library.
Description
Usage
Arguments
Value
Description
Piecewise Aggregate Approximation (PAA) approximates a time series X of length n into vector
\bar{X}=(\bar{x}_{1},…,\bar{x}_{M}) of any arbitrary length M ≤q n where each of \bar{x_{i}} is
calculated as follows:
\bar{x}_{i} = \frac{M}{n} ∑_{j=n/M(i-1)+1}^{(n/M)i} x_{j}.
Usage
1
Paa(arr, bins)
Arguments
arr
KHIVA Array with the x-coordinates and y-coordinates of the input points (x in column 0 and y in column 1).
bins
Sets the total number of divisions.
Value
Array of points with the reduced dimensionality.
shapelets/khiva-r documentation built on June 10, 2019, 4:58 a.m.
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Description Usage Arguments Value
Description
Piecewise Aggregate Approximation (PAA) approximates a time series X of length n into vector \bar{X}=(\bar{x}_{1},…,\bar{x}_{M}) of any arbitrary length M ≤q n where each of \bar{x_{i}} is calculated as follows:
\bar{x}_{i} = \frac{M}{n} ∑_{j=n/M(i-1)+1}^{(n/M)i} x_{j}.
Usage
1 | Paa(arr, bins)
|
Arguments
arr |
KHIVA Array with the x-coordinates and y-coordinates of the input points (x in column 0 and y in column 1). |
bins |
Sets the total number of divisions. |
Value
Array of points with the reduced dimensionality.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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