Project details for NaN toolbox

Logo NaN toolbox 2.2.0

by schloegl - June 26, 2010, 01:33:32 CET [ Project Homepage BibTeX Download ]

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The NaN-toolbox provides a number of statistics functions and machine learning methods for the use with Octave and Matlab. The functions can handle data with missing values encoded as NaNs, weighting of data samples, and multi-class classification (using a one-versus-rest scheme). There is a common interface to a number of different classification methods (including FDA, LDA, Naive Bayes, QDA, RDA, sparse classifiers, interfaces to some SVMs, regression/PLS, Wiener-Hopf).

Changes to previous version:
  • support for weighted liblinear
  • row-column deletion for data with missing values improved
  • faster median computation through the use of kth_element
  • mexw32 binaries included
  • better make/built scripts
  • a several minor improvements

Some minor bug fixes. For details see:

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Matlab
Tags: Classification, Multi Class, Machine Learning, Missing Data, Statistics, Weighting
Archive: download here


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