permute

This function generates all possible permutations of the elements in a given
vector <code>x</code>. The result is returned as a matrix, where each row represents a
unique permutation of the input vector.

Fast and extensible framework for discovering interesting patterns
in tabular data. The package searches combinations of fuzzy or Boolean
predicates and evaluates the resulting subgroups using statistical, logical,
or structural measures. It supports a broad range of pattern-discovery
tasks, including
association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>),
contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>),
emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>),
subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>),
and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>).
User-defined functions may be supplied to guide custom pattern searches,
making the framework applicable beyond traditional association-rule mining.
Efficient implementation enables pattern discovery on large and dense data
sets. Package includes methods for visualization and supports interactive
exploration through integrated Shiny applications.

Michal Burda

nuggets

Fast and Extensible Pattern Discovery in Tabular Data

permute function

<dl><dt>x</dt>
<dd>A vector of elements to permute. The elements can be of any type, but
they should be unique for meaningful permutations.</dd></dl>

Arguments

Author

Generate all permutations of a vector — permute

<dl>

<dt>x</dt>
<dd>A vector of elements to permute. The elements can be of any type, but
they should be unique for meaningful permutations.</dd>

</dl>

permute: Generate all permutations of a vector

Description

Usage

Value

Arguments

Author

See Also

Examples