Mini-Batch-K-Means | You will have to compile miniBatch

by siddharth-agrawal C Version: Current License: No License

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kandi X-RAY | Mini-Batch-K-Means Summary

Mini-Batch-K-Means is a C library. Mini-Batch-K-Means has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

You will have to compile miniBatch.c file to get the executable. The miniBatch.h header file contains the parameters such as dataset size, number of features, number of iterations, number of clusters and the batch size. The filename can be passed as an argument while execution. I have assumed the data to be in the following format:. point1(n features separated by spaces) point2(...) . . . . pointm(...). Right now I haven't given anything as output, as I was confused whether to give the cluster number for each datapoint or the centroids of the clusters. They can be easily accessed using 'clusters' or 'means' respectively.

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Support

Mini-Batch-K-Means has a low active ecosystem.

It has 17 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Mini-Batch-K-Means is current.

Quality

Mini-Batch-K-Means has 0 bugs and 0 code smells.

Security

Mini-Batch-K-Means has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Mini-Batch-K-Means code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Mini-Batch-K-Means does not have a standard license declared.

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

Reuse

Mini-Batch-K-Means releases are not available. You will need to build from source code and install.

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Mini-Batch-K-Means Key Features

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Install Mini-Batch-K-Means

You can download it from GitHub.

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