Skip to main content

V-Mapper

Project description

V-Mapper - Velocity Mapper

V-Mapper (velocity Mapper) is an extension of Mapper, which is a well-known topological data analysis (TDA) method for extracting high-dimensional topological structures as a graph [Singh et al., 2007]. V-Mapper is for high-dimensional data with position and velocity and describes a topological structure and flows on it simultaneously as a weighted directed graph (V-Mapper graph) by embedding given velocity data in the edges of the Mapper graph.

Y. Imoto and Y. Hiraoka. V-Mapper: topological data analysis for high-dimensional data with velocity, 2023, Nonlinear Theory and Its Applications, IEICE.

Installation

To install V-Mapper package, use pip as follows:

$ pip install vmapper

Requirements

  • Python3
  • numpy
  • scipy
  • scikit-learn

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

vmapper-0.1.0.dev202308060456-py3-none-any.whl (9.9 kB view details)

Uploaded Python 3

File details

Details for the file vmapper-0.1.0.dev202308060456-py3-none-any.whl.

File metadata

File hashes

Hashes for vmapper-0.1.0.dev202308060456-py3-none-any.whl
Algorithm Hash digest
SHA256 23544aa48198ddb032b6d9c5890689e78eb14b73ad5d52d67fa65d5cb9e30c16
MD5 1870e0e7d7129ed7141d1b24ca093286
BLAKE2b-256 fb2263119a69c518900fe999b34a5254f99f44d35a7eda38de14397ddc2c38c4

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