Metadata-Version: 2.1
Name: nxcurve
Version: 0.6.1
Summary: draws RNS,QNX and BNX curves and their auc
Home-page: https://github.com/tardigrade33/nxcurve
Author: Nicolas Marin
Author-email: josue.marin1729@gmail.com
License: MIT
Description: # QualityCurve
        
        Dimensionality reduction ( DR ) is a data transformation process which provides a low-dimensional ( attribute or variable ) representation of high dimensional data sets. This with the following purposes: noise reduction, storage space reduction, data visualization, efficient data processing and to concentrate the important information in fewer variables than the original set. A performance visual measure in DM is topology preservation. [Quality curves RNX], proposed by Lee and Verleysen, evaluates performance generating a graphical representation of topology preservation.  Nowadays there is a tool for topology conservation evaluation of DM algorithms, developed also by Lee and Verleysen (2009) but this tool is implemented only in Matlab. Here a problem arises because Matlab is limited and cannot be implemented in other technologies. here, we are going to implement, in python, a software evaluation module of curves RNX in order to be used in other technologies.
        
        # New Features!
          - RNX curve and area under the curve
          - QNX curve and area under the curve
          - BNX curve and area under the curve
        ### Development
        - Grahp for the corranking matrix
        - LCMC from a coranking matrix (local continuity meta criterion)
        - Error Handling
        
        Want to contribute? Great!
        
        License
        ----
        
        MIT
        
        **Free Software, Hell Yeah!**
        
        [Quality curves RNX]: <https://www.sciencedirect.com/science/article/abs/pii/S0925231213001471?via%3Dihub>
        
Keywords: RNX,qualitycurve,QNX,BNX
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta 
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
