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<html><head><title>R: Condense training set for k-NN classifier</title>
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<table width="100%" summary="page for condense {class}"><tr><td>condense {class}</td><td align="right">R Documentation</td></tr></table>
<h2>Condense training set for k-NN classifier</h2>
<h3>Description</h3>
<p>
Condense training set for k-NN classifier
</p>
<h3>Usage</h3>
<pre>
condense(train, class, store, trace = TRUE)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>train</code></td>
<td>
matrix for training set
</td></tr>
<tr valign="top"><td><code>class</code></td>
<td>
vector of classifications for test set
</td></tr>
<tr valign="top"><td><code>store</code></td>
<td>
initial store set. Default one randomly chosen element of the set.
</td></tr>
<tr valign="top"><td><code>trace</code></td>
<td>
logical. Trace iterations?
</td></tr>
</table>
<h3>Details</h3>
<p>
The store set is used to 1-NN classify the rest, and misclassified
patterns are added to the store set. The whole set is checked until
no additions occur.
</p>
<h3>Value</h3>
<p>
index vector of cases to be retained (the final store set).</p>
<h3>References</h3>
<p>
P. A. Devijver and J. Kittler (1982)
<EM>Pattern Recognition. A Statistical Approach.</EM>
Prentice-Hall, pp. 119–121.
</p>
<p>
Ripley, B. D. (1996)
<EM>Pattern Recognition and Neural Networks.</EM> Cambridge.
</p>
<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition. Springer.
</p>
<h3>See Also</h3>
<p>
<code><a href="reduce.nn.html">reduce.nn</a></code>, <code><a href="multiedit.html">multiedit</a></code>
</p>
<h3>Examples</h3>
<pre>
data(iris3)
train <- rbind(iris3[1:25,,1], iris3[1:25,,2], iris3[1:25,,3])
test <- rbind(iris3[26:50,,1], iris3[26:50,,2], iris3[26:50,,3])
cl <- factor(c(rep("s",25), rep("c",25), rep("v",25)))
keep <- condense(train, cl)
knn(train[keep, , drop=FALSE], test, cl[keep])
keep2 <- reduce.nn(train, keep, cl)
knn(train[keep2, , drop=FALSE], test, cl[keep2])
</pre>
<hr><div align="center">[Package <em>class</em> version 7.2-44 <a href="00Index.html">Index]</a></div>
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