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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