trans_sax: SAX transformation
In harbinger: A Unified Time Series Event Detection Framework
trans_sax R Documentation
SAX transformation
Description
Symbolic Aggregate approXimation (SAX) discretization of a numeric time series.
The series is z-normalized, quantile-binned, and mapped to an alphabet of size alpha.
Usage
trans_sax(alpha)
Arguments
alpha
Integer. Alphabet size (2–26).
Value
A trans_sax transformer object.
References
Lin J, Keogh E, Lonardi S, Chiu B (2007). A symbolic representation of time series,
with implications for streaming algorithms. Data Mining and Knowledge Discovery 15, 107–144.
Examples
library(daltoolbox)
vector <- 1:52
model <- trans_sax(alpha = 26)
model <- fit(model, vector)
xvector <- transform(model, vector)
print(xvector)
harbinger documentation built on Feb. 11, 2026, 9:06 a.m.
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| trans_sax | R Documentation |
SAX transformation
Description
Symbolic Aggregate approXimation (SAX) discretization of a numeric time series.
The series is z-normalized, quantile-binned, and mapped to an alphabet of size alpha.
Usage
trans_sax(alpha)
Arguments
alpha |
Integer. Alphabet size (2–26). |
Value
A trans_sax transformer object.
References
Lin J, Keogh E, Lonardi S, Chiu B (2007). A symbolic representation of time series, with implications for streaming algorithms. Data Mining and Knowledge Discovery 15, 107–144.
Examples
library(daltoolbox)
vector <- 1:52
model <- trans_sax(alpha = 26)
model <- fit(model, vector)
xvector <- transform(model, vector)
print(xvector)
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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