read.interval

Reads a CSV file and converts the data into a 3D interval array.

Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms:
OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ;
NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ;
Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ;
Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

Nicolas Hiot

COveR

Clustering with Overlaps

Guillaume Cleuziou

read.interval function

<dl><dt>...</dt>
<dd>Additional arguments passed to read.csv().</dd>
<dt>row.names</dt>
<dd>Logical indicating if the first column contains row names.</dd>
<dt>class</dt>
<dd>The column index of class labels (set to `NULL` if not present).</dd></dl>

Arguments

Reads a CSV file and converts the data into a 3D interval array. — read.interval

<dl>

<dt>...</dt>
<dd>Additional arguments passed to read.csv().</dd>


<dt>row.names</dt>
<dd>Logical indicating if the first column contains row names.</dd>


<dt>class</dt>
<dd>The column index of class labels (set to `NULL` if not present).</dd>

</dl>

read.interval: Reads a CSV file and converts the data into a 3D interval array.

Description

Usage

Value

Arguments