[scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE

[Ulderico Santarelli]

in addition, *the distance I'm using is not a dogma*. It is meant to avoid
the "black holes syndrome" that would emerge using the sheer Newtonian
distance when by chance two points are too near. When the distance is 0,
exp(-|w-x|) would be 1 and is set to 0. I tried also  exp{-|w-x|^2) but
changes are not significant.
Ulderico.

Il giorno dom 17 set 2023 alle ore 18:14 Jaime Lopez <jalopcar at gmail.com>
ha scritto:

> Hi there,
>
> I got interested in your project, but I found this error from the
> beginning (see attached image).
> The work array cannot be reshaped to (1,4), cause it has shape (2,1), any
> suggestions?
>
> JL
>
> [image: image.png]
>
> On Thu, Sep 14, 2023 at 11:29 AM Ulderico Santarelli <
> ulderico.santarelli at gmail.com> wrote:
>
>>       *I am an old guy who started programming around the seventies of
>> the last century* with ASSEMBLER 360, then FORTRAN, PL1, APL, IBM
>> APPLICATION SYSTEM and, last, the marvelous SAS. Having heard around about
>> the powerful, flexible, functionally complete PYTHON UNIVERSE”,
>> encompassing an advanced Object-Oriented Language and a very wide family of
>> packages, I decided to run an exercise about a problem I've been
>> tackling since my youth (have a look at the Bibliography). I succeeded in
>> completing it in a few days and I'm attaching my solution to the problem of
>> finding the points in a sample that are "central" in a surrounding
>> topological neighborhood. They are eligible as centroids for a Cluster
>> Analysis after the aggregation of "too near points'. The solution is based
>> on the search of potential wells in a suitable potential field, similar to
>> the one all of us studied in high school. Therefore, too near points may be
>> in the same potential well.
>> No more words, have a look at the attachment.
>> My coding is that of a beginner. I'm sure everybody would find more
>> efficient coding.  As a comment: I started studying Python around May 15th
>> 2023.
>> My best regards.
>> Ulderico Santarelli.
>> _______________________________________________
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>> scikit-learn at python.org
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>>
>
>
> --
>
> *Jaime Lopez Carvajal*
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> scikit-learn at python.org
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>
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