The python-cluster package allows you to create several groups (clusters) of objects from a list. It’s meant to be flexible and able to cluster any object. To ensure this kind of flexibility, you need not only to supply the list of objects, but also a function that calculates the similarity between two of those objects. For simple datatypes, like integers, this can be as simple as a subtraction, but more complex calculations are possible. Right now, it is possible to generate the clusters using a hierarchical clustering and the popular K-Means algorithm. For the hierarchical algorithm there are different “linkage” (single, complete, average and uclus) methods available.
Package Version | Update ID | Released | Package Hub Version | Platforms | Subpackages |
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1.4.1.post2-bp156.3.2 info | GA Release | 2023-07-24 | 15 SP6 |
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1.4.1.post2-bp155.2.10 info | GA Release | 2023-05-22 | 15 SP5 |
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1.4.1.post2-bp154.1.29 info | GA Release | 2022-05-09 | 15 SP4 |
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1.4.1.post2-bp153.1.14 info | GA Release | 2021-03-06 | 15 SP3 |
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1.4.1.post2-bp152.1.8 info | GA Release | 2020-04-17 | 15 SP2 |
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1.4.1-bp151.1.1 info | GA Release | 2019-06-18 | 15 SP1 |
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