cluster_est_Fmeasure

Get a point estimate of the partition using the F-measure as the cost function.

Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions
modeling oriented towards flow-cytometry data preprocessing applications. Method is
detailed in: Hejblum, Alkhassimn, Gottardo, Caron & Thiebaut (2019) <doi: 10.1214/18-AOAS1209>.

Boris P. Hejblum

NPflow

Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry
Data

Chariff Alkhassim

Francois Caron

cluster_est_Fmeasure function

<dl><dt>c</dt>
<dd>a list of vector of length <code>n</code>. <code>c[[j]][i]</code> is
the cluster allocation of observation <code>i=1...n</code> at iteration
<code>j=1...N</code>.</dd>
<dt>logposterior</dt>
<dd>a vector of logposterior corresponding to each
partition from <code>c</code> used to break ties when minimizing the cost function</dd></dl>

Arguments

Author

Point estimate of the partition using the F-measure as the cost function. — cluster_est_Fmeasure

<dl>

<dt>c</dt>
<dd>a list of vector of length <code>n</code>. <code>c[[j]][i]</code> is
the cluster allocation of observation <code>i=1...n</code> at iteration
<code>j=1...N</code>.</dd>


<dt>logposterior</dt>
<dd>a vector of logposterior corresponding to each
partition from <code>c</code> used to break ties when minimizing the cost function</dd>

</dl>

cluster_est_Fmeasure: Point estimate of the partition using the F-measure as the cost function.

Description

Usage

Value

Arguments

Author

See Also