zscore

Data to normalize. Either a vector, a matrix 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=2.1.2&to=base" data-mini-rdoc="base::scale">scale</a></code>.

Logical flag. Should <code>NA</code>s be removed? Ignored for matrix input.

na.rm


Wrapper for function <code><a rd-options="base" href="/link/scale?package=dtwclust&version=2.1.2&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>.


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