þÿ<html><head><meta name="robots" content="index,follow"> <title>KNN & Pattern & FeatureWeights: To TableOfReal...</title></head><body bgcolor="#FFFFFF"> <table border=0 cellpadding=0 cellspacing=0><tr><td bgcolor="#CCCC00"><table border=4 cellpadding=9><tr><td align=middle bgcolor="#000000"><font face="Palatino,Times" size=6 color="#999900"><b> KNN & Pattern & FeatureWeights: To TableOfReal... </b></font></table></table> <p> Use the selected <a href="KNN.html">KNN</a> classifier and the feature weights, <a href="FeatureWeights.html">FeatureWeights</a>, to classify the chosen <a href="Pattern.html">Pattern</a>. A <a href="TableOfReal.html">TableOfReal</a> object containing verbose information on the decision process will be created.</p> <h3> Settings</h3> <dl> <dt> <b>k neighbours</b> <dd> The size of the neighbourhood. <dt> <b>Vote weighting</b> <dd> The type of vote weighting to be used. <dt> <b>Output</b> <dd> Specifies the degree of verbosity, where <i>winners only</i> generates a <a href="TableOfReal.html">TableOfReal</a> containing information on the instances of the winning category only whereas <i>All candidates</i> results in a <a href="TableOfReal.html">TableOfReal</a> with verbose information on all unique categories in the neighbourhood defined by the parameter <i>k</i>. </dl> <h3> See also:</h3> <dl> <dd> <a href="kNN_classifiers_1_1_1__Feature_weighting.html">kNN classifiers 1.1.1. Feature weighting</a> <dd> <a href="kNN_classifiers_1_1_1_1__Filter-based_feature_weighting.html">kNN classifiers 1.1.1.1. Filter-based feature weighting</a> <dd> <a href="kNN_classifiers_1_1_1_2__Wrapper-based_feature_weightin.html">kNN classifiers 1.1.1.2. Wrapper-based feature weighting</a> <dd> <a href="kNN_classifiers_1_1__Improving_classification_accuracy.html">kNN classifiers 1.1. Improving classification accuracy</a> <dd> <a href="kNN_classifiers_1__What_is_a_kNN_classifier_.html">kNN classifiers 1. What is a kNN classifier?</a> <dd> <a href="kNN_classifiers.html">kNN classifiers</a> </dl> <h3>Links to this page</h3> <ul> <li><a href="kNN_classifiers_3__Command_overview.html">kNN classifiers 3. Command overview</a> </ul> <hr> <address> <p>&copy; Ola Söder, July 18, 2008</p> </address> </body> </html>