svndigest - svndigest

Rev	Date	Author	Line
2	26 Feb 07	jari	1	<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
2	26 Feb 07	jari	2
2	26 Feb 07	jari	3	<HTML>
2	26 Feb 07	jari	4	<BODY bgcolor= "#FFFFCC"><basefont face = "Arial">
2	26 Feb 07	jari	5	<H1>KNNC: K-Nearest-Neighbors Classification</H1><H2>Parameter Information</H2>
2	26 Feb 07	jari	6	<HR size = 10>
2	26 Feb 07	jari	7
2	26 Feb 07	jari	8	<H2> Classify or validate </H2>
2	26 Feb 07	jari	9	You can classify unknowns based on a training set consisting of knowns. You can validate the training set by leaving out each
2	26 Feb 07	jari	10	element of the training set in turn, and using the remaining elements of the training set to classify the one left out.
2	26 Feb 07	jari	11	You can thus assess the quality of the training classes. A good training class should have most of its original members
2	26 Feb 07	jari	12	classified into itself during this process (cross validation), and it should have few members of other training classes falsely assigned to it.
2	26 Feb 07	jari	13	<BR>
2	26 Feb 07	jari	14	</BASEFONT>
2	26 Feb 07	jari	15	</BODY>
2	26 Feb 07	jari	16	</HTML>