Skip to main content

find empty hyperrectangles in high-dimensional point clouds

Project description

# big-holes-in-big-data

An implementation of the methods in [this paper](https://arxiv.org/pdf/1704.00683.pdf) to find empty regions in high-dimensional point clouds

Install with python3 -m pip install big-holes-in-big-data, which gives you access to the HoleFinder and HyperRectangle classes inside package bigholes. Then follow the [How to guide](https://pavelkomarov.com/big-holes-in-big-data/how_to_use.html) minimum viable example.

![hole](hole.png)

Project details


Release history Release notifications | RSS feed

This version

0.2

Download files

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

Source Distribution

big-holes-in-big-data-0.2.tar.gz (7.8 kB view details)

Uploaded Source

File details

Details for the file big-holes-in-big-data-0.2.tar.gz.

File metadata

  • Download URL: big-holes-in-big-data-0.2.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.5.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for big-holes-in-big-data-0.2.tar.gz
Algorithm Hash digest
SHA256 0fffac23d8f098d1619cdb5dc1d20d14939649782d377e738dfce415add95062
MD5 d485fe04e4bd96d6a1515e817f4f3691
BLAKE2b-256 c3d9dfd5a258a93fa890c0b42f52461619442d1e1aaaed534e995f4bc1e9af89

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