StrKclust

StrKclust discovers clusters of the strings in a group.

programming

Methods include converting series of event names to strings, finding common patterns
in a group of strings, discovering "unique" patterns when comparing two groups of strings as well
as the number and starting position of each pattern in each string, obtaining transition matrix,
computing transition entropy, statistically comparing the difference between two groups of strings,
and clustering string groups. Event names can be any action names or labels such as events in log files or areas of interest (AOIs) in eye tracking research.
An R Shiny application is available on GitHub.

Hui Tang

GrpString

String Patterns and Statistical Differences Between Two Groups
of Strings

StrKclust function

<dl> <dt>strings.vec</dt>
<dd>String Vector.</dd> <dt>nclust</dt>
<dd>Number of clusters. Default is 2.</dd> <dt>nstart</dt>
<dd>Number of random data sets chosen to start. Default is 1.</dd></dl>

Arguments

K-means clustering of a group of strings — StrKclust

<dl>

 <dt>strings.vec</dt>
<dd>String Vector.</dd>

 <dt>nclust</dt>
<dd>Number of clusters. Default is 2.</dd>

 <dt>nstart</dt>
<dd>Number of random data sets chosen to start. Default is 1.</dd>

</dl>

StrKclust: K-means clustering of a group of strings

Description

Usage

Value

Arguments

See Also

Examples