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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 | Summary | Distribution | Download |
python312-cluster-1.4.1.post2-3.5.noarch.html | Clustering library for python | OpenSuSE Tumbleweed for noarch | python312-cluster-1.4.1.post2-3.5.noarch.rpm |
Clustering library for python | python312-cluster-1.4.1.post2-3.4.noarch.rpm | ||
python312-cluster-1.4.1.post2-3.4.noarch.html | Clustering library for python | OpenSuSE Ports Tumbleweed for noarch | python312-cluster-1.4.1.post2-3.4.noarch.rpm |
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