predictBimax

Predicts cluster membership for new data rows given a BCrepBimax Result

cluster

classif

The main function biclust() provides several algorithms to
find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0),
spectral (2003) <doi:10.1101/gr.648603>, plaid model (2005) <doi:10.1016/j.csda.2004.02.003>, xmotifs (2003) <doi:10.1142/9789812776303_0008> and bimax (2006) <doi:10.1093/bioinformatics/btl060>. In addition, the
package provides methods for data preprocessing (normalization
and discretisation), visualisation, and validation of bicluster
solutions.

Sebastian Kaiser

biclust

BiCluster Algorithms

predictBimax function

<dl> <dt>BCrepBimax</dt>
<dd>Result of biclust function with method BCrepBimax</dd> <dt>x</dt>
<dd>The data matrix which clustermembership should be predicted</dd> </dl>

Arguments

Sebastian Kaiser 
<a href="/link/sebastian.kaiser%40stat.uni-muenchen.de?package=biclust&version=2.0.3.1" data-mini-rdoc="biclust::sebastian.kaiser@stat.uni-muenchen.de">sebastian.kaiser@stat.uni-muenchen.de</a>

Author

Predict from a BCrepBimax Result — predictBimax

<dl>

 <dt>BCrepBimax</dt>
<dd>Result of biclust function with method BCrepBimax</dd>

 <dt>x</dt>
<dd>The data matrix which clustermembership should be predicted</dd>

 </dl>

Sebastian Kaiser 
<a href='mailto:sebastian.kaiser@stat.uni-muenchen.de'>sebastian.kaiser@stat.uni-muenchen.de</a>

predictBimax: Predict from a BCrepBimax Result

Description

Usage

Value

Arguments

Author

See Also