*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.
SAMPLE POINTS CENTRALITY INDEX.docx
Description: MS-Word 2007 document
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