Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up

Implementation of Continuous k-Nearest Neighbors in Python

License

NotificationsYou must be signed in to change notification settings

chlorochrule/cknn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Note: This package supports Python 3.6 or newer.

This is a Python implementation of Continuous k-Nearest Neighbors(CkNN)proposed in the paper 'Consistent Manifold Representation for Topological DataAnalysis' (https://arxiv.org/pdf/1606.02353.pdf)

licenseBuild Status

Installation

This package only depends onnumpy andscipy. The package can be installed viapip:

$ pip install git+https://github.com/chlorochrule/cknn

Usage

X is a data matrix. A simple example is like:

fromcknnimportcknneighbors_graphckng=cknneighbors_graph(X,n_neighbors=5,delta=1.0)

License

MIT

About

Implementation of Continuous k-Nearest Neighbors in Python

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

[8]ページ先頭

©2009-2025 Movatter.jp