> The Spider Objects

>            PARZEN object

>        A=PARZEN(H) returns a parzen object initialized with hyperparameters H.

>        Kernel density estimation.

>        Model
>         child=kernel('Gaussian') -- the kernel to use

>        Methods:
>         train, test

>        Sample demo code:
>        -----------------
>       d=data(randn(30,1));
>       dtst=data([-5:0.1:5]');
>       figure(1);clf;
>       for j=1:9
>        subplot(3,3,j);
>        plot(d.X,d.X*0,'x');
>        a=parzen; a.kerparam=1/(2^(j-2));
>        [r a]=train(a,d); r=test(a,dtst);
>        hold on ; [u ind]=sort(dtst.X);
>        plot(dtst.X(ind,:),r.X(ind,:),'-');
>        title(['\sigma=1/2^{-' num2str(j) '}'])
>       end

> | Reference : chapter 4 (Richard O. Duda and Peter E. Hart) Parzen Windows

> | Author : Richard O. Duda , Peter E. Hart

> | Link : http://www.amazon.com/exec/obidos/tg/detail/-/0471056693/002-6279399-2828812?v=glance