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The search service can find package by either name (apache), provides(webserver), absolute file names (/usr/bin/apache), binaries (gprof) or shared libraries (libXm.so.2) in standard path. It does not support multiple arguments yet...
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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 |
| python310-cluster-1.4.1.post2-3.3.noarch.html | Clustering library for python | OpenSuSE Tumbleweed for noarch | python310-cluster-1.4.1.post2-3.3.noarch.rpm |
| python310-cluster-1.4.1.post2-3.2.noarch.html | Clustering library for python | OpenSuSE Ports Tumbleweed for noarch | python310-cluster-1.4.1.post2-3.2.noarch.rpm |
| Clustering library for python | python310-cluster-1.4.1.post2-3.2.noarch.rpm |
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