zscore

Data to normalize. Either a vector, a matrix/data.frame where each row is to be
normalized, or a list of vectors.

Further arguments to pass to <code><a rd-options="base" href="/link/scale?package=dtwclust&version=3.1.1&to=base" data-mini-rdoc="base::scale">scale</a></code>.

Is <code>x</code> a multivariate time series? It will be detected automatically if
a list is provided in <code>x</code>.

multivariate

Should the mean and standard deviation returned by
<code><a rd-options="base" href="/link/scale?package=dtwclust&version=3.1.1&to=base" data-mini-rdoc="base::scale">scale</a></code> be preserved?

keep.attributes


Wrapper for function <code><a rd-options="base" href="/link/scale?package=dtwclust&version=3.1.1&to=base" data-mini-rdoc="base::scale">scale</a></code> that returns zeros instead of <code>NaN</code>. It also
supports a list of vectors and a matrix input.


Time series clustering along with optimized techniques related
to the Dynamic Time Warping distance and its corresponding lower bounds.
Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
clustering are available. Functionality can be easily extended with
custom distance measures and centroid definitions.

Alexis Sarda

dtwclust

Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance

zscore function

Further arguments to pass to <code><a rd-options='base' href='scale'>scale</a></code>.

Should the mean and standard deviation returned by
<code><a rd-options='base' href='scale'>scale</a></code> be preserved?


Wrapper for function <code><a rd-options='base' href='scale'>scale</a></code> that returns zeros instead of <code>NaN</code>. It also
supports a list of vectors and a matrix input.


zscore: Wrapper for z-normalization

Description

Usage

Arguments

Value