Skip to main content

Intrinsic Dimensionality Estimation

Project description

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, and Maximum Likelihood Estimation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

IntrinsicDimEstimator-0.1.tar.gz (19.9 kB view details)

Uploaded Source

Built Distribution

IntrinsicDimEstimator-0.1-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file IntrinsicDimEstimator-0.1.tar.gz.

File metadata

  • Download URL: IntrinsicDimEstimator-0.1.tar.gz
  • Upload date:
  • Size: 19.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for IntrinsicDimEstimator-0.1.tar.gz
Algorithm Hash digest
SHA256 09bfc12053da4ae9520db0a9daf07c08066b2afbb734bbce6e61b0c1d79c40a2
MD5 ac89ab5ed657c8a0a29548e7a5727688
BLAKE2b-256 c0b018eb426bb282399e872157d4f47120e7e3756989c52262ce2ca19e84d1ad

See more details on using hashes here.

File details

Details for the file IntrinsicDimEstimator-0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for IntrinsicDimEstimator-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dd538ba406792607ffcd8d4148d4094b05e37c802433ce233fc94c734e58e48f
MD5 99fdf7a7ca22a5538bcd6cfad1c4192e
BLAKE2b-256 d6895259f882a8bbb8ecb7418a4a78200305153941281b4b239fcf7de53d57ba

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page