k-means | means algorithm is a typical distance based clustering

by YanHF C# Version: Current License: No License

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kandi X-RAY | k-means Summary

k-means is a C# library. k-means has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

K-means聚类算法学习与简单实现。K-means algorithm is a typical distance based clustering algorithm. Distance is used as the evaluation index of similarity. That is to say, the closer the distance between the two objects is, the greater the similarity is. The algorithm considers that the cluster is composed of objects near the distance, so a compact and independent cluster is taken as the ultimate goal.

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k-means has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

k-means has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of k-means is current.

Quality

k-means has no bugs reported.

Security

k-means has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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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.

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k-means releases are not available. You will need to build from source code and install.

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You can download it from GitHub.

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