rlbmat

Generate a uniform logical matrix deviate with a possibly overlapping 
 block structure.

cluster

Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

Christian Buchta

Clustering for Business Analytics

Michael Hahsler

rlbmat function

<dl> <dt>npat</dt>
<dd>number of patterns.</dd> <dt>rows</dt>
<dd>number of rows per pattern.</dd> <dt>cols</dt>
<dd>number of columns per pattern.</dd> <dt>over</dt>
<dd>number of additional columns per pattern that overlap.</dd> <dt>noise</dt>
<dd>the probability of observing a one in the background
 (non-pattern) matrix.</dd> <dt>prob</dt>
<dd>the probability of observing <code>TRUE</code> in a pattern.</dd> <dt>perfect</dt>
<dd>option for overlap of the first and the last pattern.</dd></dl>

Arguments

Author

Block Uniform Logical Matrix Deviates — rlbmat

<dl>

 <dt>npat</dt>
<dd>number of patterns.</dd>

 <dt>rows</dt>
<dd>number of rows per pattern.</dd>

 <dt>cols</dt>
<dd>number of columns per pattern.</dd>

 <dt>over</dt>
<dd>number of additional columns per pattern that overlap.</dd>

 <dt>noise</dt>
<dd>the probability of observing a one in the background
 (non-pattern) matrix.</dd>

 <dt>prob</dt>
<dd>the probability of observing <code>TRUE</code> in a pattern.</dd>

 <dt>perfect</dt>
<dd>option for overlap of the first and the last pattern.</dd>

</dl>

rlbmat: Block Uniform Logical Matrix Deviates

Description

Usage

Value

Arguments

Author

Details

See Also

Examples