cluster

The function obtains clusters from data using the given
 number of clusters, which may be a range.

internal

Discretize multivariate continuous data using a grid
to capture the joint distribution that preserves clusters in
original data. It can handle both labeled or unlabeled data.
Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415>
and new methods are included. Joint grid discretization
can prepare data for model-free inference of association,
function, or causality.

Joe Song

GridOnClusters

Multivariate Joint Grid Discretization

Jiandong Wang

Sajal Kumar

cluster function

<dl><dt>data</dt>
<dd>input continuous multivariate data</dd>
<dt>k</dt>
<dd>the number(s) of clusters</dd>
<dt>method</dt>
<dd>the method for clustering</dd>
<dt>noise</dt>
<dd>adding jitter noise to the data or not</dd></dl>

Arguments

Cluster Multivariate Data — cluster

<dl>

<dt>data</dt>
<dd>input continuous multivariate data</dd>


<dt>k</dt>
<dd>the number(s) of clusters</dd>


<dt>method</dt>
<dd>the method for clustering</dd>


<dt>noise</dt>
<dd>adding jitter noise to the data or not</dd>

</dl>

cluster: Cluster Multivariate Data

Description

Usage

Arguments