Re: EM ALGORITHM

I am sorry about the caps.

**Please note, that this is not a homework question.
I am looking for an EM algorithm that can be used for missing
features/data/values?

E.g.
The following is a hypothetical example:

assume x to be a missing feature/data/value


f1 f2 f3 f4 f5
f6 f7 f8
first point = [0.33 0.045 0.454 1.556 x 0.8 x
1.2]
sec point = [0.23 x 0.980 0.64 2.34 x 0.7
1.0]
third point= [x 0.2 1.200 0.98 8.2 1.2
1.67 1.3]
..
..
..
n-th point=[0.35 0.023 0.444 0.78 x 1.11 0.89
0.9]

hence my total dataset is n by 8. The 8 columns each represent a
reading of perhaps a sensor. Each sensor may be reading a different
feature value. (e.g. gas value, chemical index)


How can the EM be used? Furthermore, the problem becomes more
complicated if each of the datapoints can be classified as one of m
classes( class1 , class2 ,.... ,classm). So we do not know the
distribution (i.e. we do not know which class each of the points belong
to)

A good tutorial or explanation on how to approach the problem will be
helpful. Also note, that there can be any number of features and points
and are not restricted to 8 features as shown above.


Thank you.


mlimber wrote:
> sabbathian@xxxxxxxxx wrote:
> > DOES ANYONE HAVE OR KNOW WHERE I CAN FIND A GOOD AND EASY TUTORIAL FOR
> > THE EM ALGORITHM WITH EXAMPLES??
> >
> > THANKS!
>
> Which EM algorithm are you refering to, and why are you yelling at us?
>
> Cheers! --M

.

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