BSPLeaveCenter

data

partition method, either "dsp (discrepancy based partition)", or "ll (bayesian sequantial partition limited-look ahead)"

method

Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.

Ye Li

Partition-Assisted Clustering and Multiple Alignments of
Networks

BSPLeaveCenter function

<dl><dt>data</dt>
<dd>a n x p data matrix</dd>
<dt>N</dt>
<dd>number of leaves centers</dd>
<dt>method</dt>
<dd>partition method, either "dsp (discrepancy based partition)", or "ll (bayesian sequantial partition limited-look ahead)"</dd></dl>

Arguments

Finds N Leaf centers in the data — BSPLeaveCenter

<dl>

<dt>data</dt>
<dd>a n x p data matrix</dd>


<dt>N</dt>
<dd>number of leaves centers</dd>


<dt>method</dt>
<dd>partition method, either "dsp (discrepancy based partition)", or "ll (bayesian sequantial partition limited-look ahead)"</dd>

</dl>

BSPLeaveCenter: Finds N Leaf centers in the data

Description

Usage

Value

Arguments