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[pyclustering.cluster.elbow][ccore.clst.elbow] Step search #489

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annoviko opened this issue Jan 25, 2019 · 0 comments
Closed
4 tasks done

[pyclustering.cluster.elbow][ccore.clst.elbow] Step search #489

annoviko opened this issue Jan 25, 2019 · 0 comments
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annoviko commented Jan 25, 2019 •
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Introduction
In case of complex and big data, it is not desirable to search using step=1, for the initial rough search it is much better to be able to search using a bigger step.

Description
The additional parameter should be introduced to the algorithm - step.

  • Additional parameter for the Python implementation.
  • Additional parameter for the C/C++ implementation.
  • Unit and integration tests.
  • Update documentation and append examples.
@annoviko annoviko added Enhancement Tasks related to enhancement and development Good First Issue Tasks that can be easily done by contributors labels Jan 25, 2019
@annoviko annoviko self-assigned this Nov 23, 2019
@annoviko annoviko mentioned this issue Oct 22, 2020
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annoviko added a commit that referenced this issue Oct 22, 2020
@annoviko
#489, #639: [pyclustering.cluster.elbow] kmax value is not analyzed. …
7fa1245 
…[pyclustering.cluster.elbow][ccore.clst.elbow] Step search.
annoviko added a commit that referenced this issue Oct 23, 2020
@annoviko
#489: [feature] Introduced p_step parameter for elbow algorithm.
38cbaf9
annoviko added a commit that referenced this issue Oct 23, 2020
@annoviko
#489: [feature] Optimize parallel_for and parallel_for_each.
e3188fa
annoviko added a commit that referenced this issue Oct 23, 2020
@annoviko
#489: [feature] Correct step in parallel loops.
73ba6b8
annoviko added a commit that referenced this issue Oct 23, 2020
@annoviko
#642, #489: [feature] parallel_for optimization, using pyclustering i…
b84c2d2 
…mplementation by default.
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