I think anything is ok ....?
On Thu, Mar 14, 2013 at 5:33 PM, Albert Kottke <[email protected]>wrote:
> Sure. It might take me a little time to put together. I could do a
> collection of CSV files, or just do a gzipped json file of a Python
> dict.
>
> Albert
>
> On Thu, Mar 14, 2013 at 2:29 PM, Ronnie Ghose <[email protected]>
> wrote:
> > Could you release a part of your data? / Similar data?
> >
> >
> > On Thu, Mar 14, 2013 at 5:26 PM, Albert Kottke <[email protected]>
> > wrote:
> >>
> >> I sent this email earlier, but that attachment exceeded the attachment
> >> limit so I am linking the attachment.
> >>
> >> http://i.imgur.com/dHida3t.png
> >>
> >> Attached is a figure showing a collection of velocity profiles across
> >> a region. The goal would be to group each of theses curves into
> >> groups with similar characteristics
> >>
> >> My idea is to group the entire profile for two reasons:
> >> 1) The goal is to randomly generate similar profiles.
> >> 2) The layering sequence within a profile is dependent on the
> >> geologic conditions. So the relationship between adjacent layers would
> >> be different for different groups, and would require more variables to
> >> describe.
> >> If you clustered using thickness and velocity, then you would
> >> also have to consider depth as well.
> >>
> >> On Thu, Mar 14, 2013 at 1:09 PM, Albert Kottke <[email protected]
> >
> >> wrote:
> >> > Attached is a figure showing a collection of velocity profiles across
> >> > a region. The goal would be to group each of theses curves into
> >> > groups with similar characteristics
> >> >
> >> > My idea is to group the entire profile for two reasons:
> >> > 1) The goal is to randomly generate similar profiles.
> >> > 2) The layering sequence within a profile is dependent on the
> >> > geologic conditions. So the relationship between adjacent layers would
> >> > be different for different groups, and would require more variables to
> >> > describe.
> >> > I think if you clustered using thickness and velocity, then you would
> >> > also have to consider depth as well.
> >> >
> >> > Albert
> >> >
> >> >
> >> > On Thu, Mar 14, 2013 at 1:01 PM, Ronnie Ghose <[email protected]
> >
> >> > wrote:
> >> >> What would be wrong with clustering via the thickness and velocity of
> >> >> each
> >> >> layer as features?
> >> >>
> >> >> On Mar 14, 2013 3:31 PM, "Albert Kottke" <[email protected]>
> >> >> wrote:
> >> >>>
> >> >>> I am a novice at machine learning, so pardon my ignorance.
> >> >>>
> >> >>> I have ~3000 velocity profiles, which consist of multiple layers
> >> >>> defined
> >> >>> by a thickness and velocity. My goal is cluster these profiles into
> >> >>> ~10
> >> >>> groups with similar characteristics. All of the examples that I
> have
> >> >>> seen
> >> >>> on the scikits-learn website involve simpler datasets, so I am not
> >> >>> sure that
> >> >>> solving this is possible with machine learning.
> >> >>>
> >> >>> Is this a problem that could be solved with machine learning? Is
> there
> >> >>> an
> >> >>> example or a good reference to look at? Any general recommendations?
> >> >>>
> >> >>>
> >> >>> Thanks for your help,
> >> >>>
> >> >>> Albert
> >> >>>
> >> >>>
> >> >>>
> >> >>>
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> >> >>
> >> >>
> >> >>
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> >>
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> >
> >
> >
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