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Software . 2018
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Software . 2018
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Software . 2019
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Software . 2019
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scikit-fuzzy/scikit-fuzzy: Scikit-Fuzzy version 0.4.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Oct 2018Publisher:Zenodo
Authors: Josh Warner; Jason Sexauer; scikit-fuzzy; twmeggs; Alexandre M. S.; Aishwarya Unnikrishnan; Guilherme Castelão; +14 Authors
Code repository: https://github.com/scikit-fuzzy/scikit-fuzzy/tree/0.4.0

doi: 10.5281/zenodo.1462142 , 10.5281/zenodo.2617030

scikit-fuzzy/scikit-fuzzy: Scikit-Fuzzy version 0.4.0

Abstract

This major point release brings bug fixes, efficiency improvements, and quality of life improvements. A bug was fixed in the lom/som methods; negative range now fully supported (#189) Significant efficiency gains by streamlined linear algebra (#187) (#156) Names of nodes in the control system graph can now be displayed (#166) Numerical improvement to cmeans for values of m close to 1.0 (#154) In addition to the source release here, 0.4.0 is now live on PyPi. Install/upgrade with pip install -U scikit-fuzzy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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