Re: [R] outlier detection

From: Weiwei Shi <helprhelp_at_gmail.com>
Date: Thu 04 Aug 2005 - 13:12:40 EST

Thanks.
I knew rf based on proximity can detect the outlier but when the data size goes to 1 million and the features go around 200, I guess I probably do not have enough memory to proceed. Do u have some experience of outlier detection in this kind of data size?

regards,

weiwei

On 8/3/05, Wensui Liu <liuwensui@gmail.com> wrote:
> Random forest can do the job.
>
> HTH.
>
> On 8/3/05, Weiwei Shi <helprhelp@gmail.com> wrote:
> > Hi, there:
> > I am wondering what packages are available in R which can do "outlier
> > detection" in large-scale dataset.
> >
> > Thanks for sharing info,
> >
> > weiwei
> >
> > --
> > Weiwei Shi, Ph.D
> >
> > "Did you always know?"
> > "No, I did not. But I believed..."
> > ---Matrix III
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
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> > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> >
>
>
> --
> WenSui Liu, MS MA
> Senior Decision Support Analyst
> Division of Health Policy and Clinical Effectiveness
> Cincinnati Children Hospital Medical Center
>

-- 
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

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Received on Thu Aug 04 13:18:18 2005

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