pyksc | Implementation of the K-Spectral Centroid Algorithm

by flaviovdf Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pyksc Summary

pyksc is a Python library. pyksc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Implementation of the K-Spectral Centroid Algorithm in Python/Cython (with OpenMP)

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pyksc has a low active ecosystem.

It has 36 star(s) with 14 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 106 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyksc is current.

Quality

pyksc has 0 bugs and 0 code smells.

Security

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

pyksc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyksc is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

pyksc saves you 1291 person hours of effort in developing the same functionality from scratch.

It has 2899 lines of code, 175 functions and 46 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyksc and discovered the below as its top functions. This is intended to give you an instant insight into pyksc implemented functionality, and help decide if they suit your requirements.

Calculate the centroids of the clustering
Base KSC algorithm
Computes the centroids of each cluster
Calculate k - clusters clustering
Calculates the cost function of the cost function
Return a list of filenames
Calculate the Chisq
Calculate the chisq
Return a list of package names
Vectorizes a video file
Tokenize tags and stem words
Return a list of terms that are not longer than bottom_filter
Entry point
Create matplotlib
Runs the classification
Create argument parser
Run multiple processes
Compute the best prediction for a file
Runs the folder of the folder
Get the parameters for a given threshold
Calculate the beta of the cross - correlation
Calculate the average distance between two series
Compute the mean and standard deviation of a tseries

Get all kandi verified functions for this library.

pyksc Key Features

No Key Features are available at this moment for pyksc.

pyksc Examples and Code Snippets

No Code Snippets are available at this moment for pyksc.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pyksc

You can download it from GitHub.
You can use pyksc 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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