Skip to main content

Interactive Dimensionality Reduction, Clustering, and Visualization

Project description

InterDim

Docs and Tests Python Versions License Docs

Interactive Dimensionality Reduction, Clustering, and Visualization

InterDim is a Python package for interactive exploration of latent data dimensions. It wraps existing tools for dimensionality reduction, clustering, and data visualization in a streamlined interface.

Code: github.com/MShinkle/interdim

API Documentation: mshinkle.github.io/interdim

Installation

You can install from pypi via pip (recommended):

pip install interdim

Or from source, by cloning, navigating into the base dir, and installing via:

pip install .

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

interdim-0.2.4.tar.gz (10.8 kB view details)

Uploaded Source

Built Distribution

interdim-0.2.4-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file interdim-0.2.4.tar.gz.

File metadata

  • Download URL: interdim-0.2.4.tar.gz
  • Upload date:
  • Size: 10.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for interdim-0.2.4.tar.gz
Algorithm Hash digest
SHA256 c6866147877bbe99a0fb90f2e735a3de5e6cc705611523498b0c4d664a556507
MD5 5973a3851b471cc598b57408cb358270
BLAKE2b-256 59ac2fcc4765843c8e5d191f40770357ca946251daf738a77daddabe994e3130

See more details on using hashes here.

File details

Details for the file interdim-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: interdim-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for interdim-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d6d6db9eb5b2bb378873b5b525bff10620a204b9572616ba64cca34458d56351
MD5 2c7c7d0025cacd2ade22ec945e6f2777
BLAKE2b-256 f503331a731adcb375efe68d8494a8ca2dae4a9680d441fae59abf9981f45484

See more details on using hashes here.

Supported by

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