EKMeans | Elongated K-Means Algorithm

by flybass Python Version: Current License: No License

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kandi X-RAY | EKMeans Summary

EKMeans is a Python library. EKMeans has no bugs, it has no vulnerabilities and it has low support. However EKMeans build file is not available. You can download it from GitHub.

An implementation of the Elongated K-Means Algorithm originally authored by Guido Sanguinetti, Jonathan Laidler and Neil D. Lawrence. Please find their original paper at There are a few notable additions. Following the example of researchers at Carnegie Mellon (please find their work at a noise-threshold was added to the algorithm. Also, an experimental one-cluster test is added to the algorithm. As the affinity matrix is the only input, we try to perturb the affinity matrix directly and look at the difference in fit-statistics between 1 cluster and the fit for k>2.

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Support

EKMeans has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

EKMeans has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EKMeans is current.

Quality

EKMeans has no bugs reported.

Security

EKMeans has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

EKMeans does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

EKMeans releases are not available. You will need to build from source code and install.

EKMeans has no build file. You will be need to create the build yourself to build the component from source.

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EKMeans Key Features

No Key Features are available at this moment for EKMeans.

EKMeans Examples and Code Snippets

No Code Snippets are available at this moment for EKMeans.

Community Discussions

No Community Discussions are available at this moment for EKMeans.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install EKMeans

You can download it from GitHub.
You can use EKMeans like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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