📄 mdndist2.htm
字号:
<html><head><title>Netlab Reference Manual mdndist2</title></head><body><H1> mdndist2</H1><h2>Purpose</h2>Calculates squared distance between centres of Gaussian kernels and data<p><h2>Synopsis</h2><PRE>n2 = mdndist2(mixparams, t)</PRE><p><h2>Description</h2><CODE>n2 = mdndist2(mixparams, t)</CODE> takes takes the centres of the Gaussian contained in <CODE>mixparams</CODE> and the target data matrix, <CODE>t</CODE>, and computes the squared Euclidean distance between them. If <CODE>t</CODE> has <CODE>m</CODE> rows and <CODE>n</CODE>columns, then the <CODE>centres</CODE> field inthe <CODE>mixparams</CODE> structure should have <CODE>m</CODE> rows and<CODE>n*mixparams.ncentres</CODE> columns: the centres in each row relate tothe corresponding row in <CODE>t</CODE>.The result has <CODE>m</CODE> rows and <CODE>mixparams.ncentres</CODE> columns.The <CODE>i, j</CODE>th entry is the squared distance from the <CODE>i</CODE>th row of <CODE>x</CODE> to the <CODE>j</CODE>thcentre in the <CODE>i</CODE>th row of <CODE>mixparams.centres</CODE>.<p><h2>See Also</h2><CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)<p>David J Evans (1998)</body></html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -