Octave-Forge
| Windows: installers |
GNU Octave: Data Analysis Examples
Tools for statistical data analysis and
exploration:
•PSPP
(open-source version of SPSS)
•Rattle
•Weka
•STATISTICA
•STATA
•and
of course the “heavy lifters" MATLAB or Wolfram Mathematica
•Remark:
If you are interested in the above topic a little more - I recently found a
reference to a paper from UMBC - "A Comparative Evaluation of Matlab,
Octave, FreeMat, Scilab, R,
and IDL on Tara”.
•資料來源:
Tools
for data pre-processing / algorithms and coding:
•KNIME
(Java
based)
•Rattle
(R based)
•R
•MATLAB
/ Octave
•Python
/ iPython
Notebook
•資料來源:
•Rattle is good for not only analyzing the statistical data properties but also for executing some of the basic versions of ML models (learn & predict).
•Weka has huge library of ML algorithms.
•Python / iPython Notebook can efficiently utilize 64-bit architecture and process very efficiently the data
•Using iPython on both, Windows and Linux platforms.
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