Dist

It's a function of finding the distance between two observations.

It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.

Yi Ya

SKNN

A Super K-Nearest Neighbor (SKNN) Classification Algorithm

Yarong Yang

Nader Ebrahimi

Yoram Rubin

Jacob Zhang

Dist function

<dl> <dt>x</dt>
<dd>Numeric. A vector denoting an observation.</dd> <dt>y</dt>
<dd>Numeric. A vector denoting an observation.</dd></dl>

Arguments

Author

Finding the distance between two observations. — Dist

<dl>

 <dt>x</dt>
<dd>Numeric. A vector denoting an observation.</dd>

 <dt>y</dt>
<dd>Numeric. A vector denoting an observation.</dd>

</dl>

Dist: Finding the distance between two observations.

Description

Usage

Value

Arguments

Author