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What's the easiest way to cluster data?
Hello.
Given: view table
Object 1 | Object 2 | Distance |
one | 2 | 1.5 |
one | 3 | 0.3 |
one | 4 | 0.5 |
2 | 3 | 1.4 |
2 | 4 | 0.9 |
3 | 4 | 0.4 |
... | ... | ... |
[[1,3,4],[2,5], ...]
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The question "where to shove" is not clear? What tool do you use?
If R is here, choose from the available ones:
https://www.hackerearth.com/practice/machine-learn...
If in Python, then some ready-made solutions are described here
py-algorithm.blogspot.com/2014/10/blog -post_12.html
If on SPSS - then choose here
www.datuapstrade.lv/rus/spss/section_20/8
If on SAS - then https://www.sas.com/content/dam/SAS/ru_ru/doc/acad ...
Statistica has its own tools - cdo.bseu.by/stat1/lab_3.htm
TensorFlow, RapidMiner, and KNIME have their own clustering tools.
Everywhere - ready and uncomplicated. Choose what you are better at.
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