dtwclustControl

dtwclustControl-class

Formal S4 class with several control parameters used in <code><a href="/link/dtwclust?package=dtwclust&version=2.1.1" rd-options="" data-mini-rdoc="dtwclust::dtwclust">dtwclust</a></code>.

Time series clustering along with optimized techniques related
    to the Dynamic Time Warping distance and its corresponding lower bounds.
    Implementations of k-Shape, TADPole and fuzzy clustering are available.
    The 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

dtwclustControl-class function

<ul><li><code>window.size</code>=<code>NULL</code></li><li><code>norm</code>= "L1"</li><li><code>delta</code>= 1e-3</li><li><code>trace</code>=<code>FALSE</code></li><li><code>save.data</code>=<code>TRUE</code></li><li><code>symmetric</code>=<code>FALSE</code></li><li><code>packages</code>=<code>character(0)</code></li></ul>

Common parameters

<ul><li><code>dba.iter</code>=<code>15L</code></li><li><code>pam.precompute</code>=<code>TRUE</code></li></ul>

Only for partitional procedures

<ul><li><code>fuzziness</code>=<code>2</code></li></ul>

Only for fuzzy clustering

dtwclustControl-class: Class definition for `dtwclustControl`

Description

Arguments

Common parameters

Only for partitional procedures

Only for fuzzy clustering

For both partitional and fuzzy

Details