jitter_points

Re-evaluate index after jittering all points by an amount alpha.

Projection pursuit is used to find interesting low-dimensional
projections of high-dimensional data by optimizing an index over all
possible projections. The 'spinebil' package contains methods to evaluate
the performance of projection pursuit index functions using tour methods.
A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.

Tina Rashid Jafari

spinebil

Investigating New Projection Pursuit Index Functions

Ursula Laa

Dianne Cook

jitter_points function

<dl><dt>proj_data</dt>
<dd>Original projected data points</dd>
<dt>alpha</dt>
<dd>Jitter amount (passed into the jitter() function)</dd>
<dt>idx</dt>
<dd>Index function</dd></dl>

Arguments

Re-evaluate index after jittering all points by an amount alpha. — jitter_points

<dl>

<dt>proj_data</dt>
<dd>Original projected data points</dd>


<dt>alpha</dt>
<dd>Jitter amount (passed into the jitter() function)</dd>


<dt>idx</dt>
<dd>Index function</dd>

</dl>

jitter_points: Re-evaluate index after jittering all points by an amount alpha.

Description

Usage

Value

Arguments