Skip to main content

Library to compute conceptual distance by using DIS-C method

Project description

# Codigo para la tesis “Algoritmo para el cálculo acelerado de distancias conceptuales”

## Estado #### En desarrollo

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

similarity-disc-0.0.2.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

similarity_disc-0.0.2-py3-none-any.whl (15.2 kB view details)

Uploaded Python 3

File details

Details for the file similarity-disc-0.0.2.tar.gz.

File metadata

  • Download URL: similarity-disc-0.0.2.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for similarity-disc-0.0.2.tar.gz
Algorithm Hash digest
SHA256 a44b81ba4e042bdeef3cfab5a44d15e76a67dd2d03ee97fd5c4bc2bb9f005103
MD5 3c8385e0586dff97fdae5c67fc7c1c97
BLAKE2b-256 7206aabbc36b500734b5a77dd0976b4b1fbc933fe42bd718c0c9af98d0bd87fa

See more details on using hashes here.

File details

Details for the file similarity_disc-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for similarity_disc-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 48f091eb7f5cc7d18bfca65e20c66f06f2ba35f153fada012599aca713d19746
MD5 04dfde04e47c07d3395b7d2fd137b4f2
BLAKE2b-256 b0009edd554ccdbb89fcccca7bf523467e7a38a6002cd8048c8fdb30ad916751

See more details on using hashes here.

Supported by

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