Hi Albert
On Fri, Mar 22, 2013 at 6:33 PM, Albert Kottke wrote:
> Consider the following profiles:
>
> # A B C D
> 1 10 9 3 2
> 2 4 5 4 5
> 3 6 5 6 7
>
> I have removed thickness and just used layer number for simplicity. The
> desired behavior is that profiles A and B are grouped
Consider the following profiles:
# A B C D
1 10 9 3 2
2 4 5 4 5
3 6 5 6 7
I have removed thickness and just used layer number for simplicity. The
desired behavior is that profiles A and B are grouped together because they
start high, decrease, and then slightly increase. Profiles C
2013/3/22 Albert Kottke :
> My biggest question is forming the data into the X matrix (n_samples,
> n_features). The approach you describe would cluster based on thickness and
> velocity without consideration of the relationship between adjacent layers.
> Initially, I want to try to cluster based o
The NaNs at the base of the profile implies that the velocity in that layer
continues on for some unspecified thickness, which I can handle using a
couple of different approaches. I am not too concerned about that.
My biggest question is forming the data into the X matrix (n_samples,
n_features).
2013/3/22 Albert Kottke :
> Here is the data that I would be working with:
>
> No Thickness DepthVp Vs
> (m) (m)(m/s)(m/s)
> 1,2.00,2.00, 480.00, 180.00
> 2,8.00, 10.00, 2320.00, 700.00
> 3,8.00, 18.00, 2980.00, 1150.00
> 4, 52.00, 70.00, 298
Here is the data that I would be working with:
No Thickness DepthVp Vs
(m) (m)(m/s)(m/s)
1,2.00,2.00, 480.00, 180.00
2,8.00, 10.00, 2320.00, 700.00
3,8.00, 18.00, 2980.00, 1150.00
4, 52.00, 70.00, 2980.00, 1720.00
5, -, -, 3120.0
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 layeri
I think anything is ok ?
On Thu, Mar 14, 2013 at 5:33 PM, Albert Kottke 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
> w
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 wrote:
> Could you release a part of your data? / Similar data?
>
>
> On Thu, Mar 14, 2013 at 5:26 PM
Could you release a part of your data? / Similar data?
On Thu, Mar 14, 2013 at 5:26 PM, Albert Kottke 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 coll
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 ch
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" 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
Hi there
How does your data set looks like, each time that you have a measurement,
which kind of information do you have available?
Leon
On Thu, Mar 14, 2013 at 12:30 PM, Albert Kottke wrote:
> I am a novice at machine learning, so pardon my ignorance.
>
> I have ~3000 velocity profiles, which
Elaborate - sounds like two features as of now
On Mar 14, 2013 3:31 PM, "Albert Kottke" 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 profile
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-lea
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