Re: assumption of Classification

On 25 Apr 2005 11:49:26 -0700, wu_cheng2001@xxxxxxxxxxx (apple0811)
wrote:

> Hi, everyone,
>
> I am doing classification of voice signal.
>
> Since the voice signal is very virable[*], for sure it is not normal.

Being very "variable"* usually means that a feature has
a large standard deviation, and that's easily possible
with Normal data.

Highly skewed? Discrete? Multi-modal? - those are more
precise descriptions.

>
> Can I still use clustering analysis, tree method, QDA, RDA method to classify?
>
> In fact, I have already applied these method, but I haven't check normality.
>
> I am afraid these method are wrong for non-parameter[*] data.

"Non-parametric* data" is not a very useful term.
In my experience, the user sometimes should have said that
he expects to use ranks, and sometimes should have said
that there are discrete categories. - And you seem to be
saying something otherwise.

--
Rich Ulrich, wpilib@xxxxxxxx
http://www.pitt.edu/~wpilib/index.html
.

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