Metadata-Version: 2.1
Name: itk-principalcomponentsanalysis
Version: 1.0.0
Summary: ITK classes for the analysis of the principal components of data sets, optionally point data associated with the vertices of a mesh.
Home-page: https://github.com/InsightSoftwareConsortium/ITKPrincipalComponentsAnalysis
Author: Michael Bowers and Laurent Younes
Author-email: mbowers@cis.jhu.edu
License: Apache
Download-URL: https://github.com/InsightSoftwareConsortium/ITKPrincipalComponentsAnalysis
Keywords: ITK PCA Mesh
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: C++
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: Operating System :: Android
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Dist: itk (>=5.1.1)

itk-principalcomponentsanalysis provides an implementation of standard principal components analysis algorithms for use on scalar or vector data sets.
Please refer to:
M. Bowers and L. Younes, "Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.", Insight Journal, January-December 2012, http://hdl.handle.net/10380/3386

