Metadata-Version: 2.1
Name: IntrinsicDimEstimator
Version: 0.3.2
Summary: Intrinsic Dimensionality Estimation with idPettis Method
Author: Eng. Alberto Biscalchin
Author-email: <biscalchin.mau.se@gmail.com>
Keywords: intrinsic dimensionality,dimensionality estimation,data analysis,machine learning
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: matplotlib

A package for estimating the intrinsic dimensionality of a dataset. Supports multiple estimation methods including Correlation Dimension, Nearest Neighbor Dimension, Packing Numbers, Geodesic Minimum Spanning Tree, Eigenvalue Analysis, Maximum Likelihood Estimation, and the newly added idPettis method. The idPettis method provides an innovative approach for dimensionality estimation, enhancing the package’s utility and accuracy in analyzing complex datasets.
