Metadata-Version: 1.1
Name: spca
Version: 1.2.0
Summary: A simple implemetation of Principle Component Analysis
Home-page: https://github.com/salman-kgp/easypca
Author: Salman Ahmad
Author-email: salmaniit.ahmed1@gmail.com
License: MIT
Description: A simple but great implementation of Principle component analysis. This module accepts a SVM format data in a file and expected value of variance with output file location. Reduces dimension and writes data back to output location
Keywords: dimension reduction pca machine learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
