kmean_model | # # 使用kmeans模型对新闻数据进行聚类 # 使用简要说明 python test
kandi X-RAY | kmean_model Summary
kandi X-RAY | kmean_model Summary
kmean_model is a Python library. kmean_model has no bugs, it has no vulnerabilities and it has low support. However kmean_model build file is not available. You can download it from GitHub.
##使用kmeans模型对新闻数据进行聚类 #使用简要说明 python test.py word_dict.txt center_file.txt input_data.txt output_file.txt word_dict.txt : 新闻词带,即统计语料中的词频率,去掉单字以及只出现一次的词 center_file.txt : 从语料中抽取5篇作为初始的中心点。为了效果明显,每类别中选取一篇作为初始中心。 input_data.txt : 已用空格进行了分词,每一行代表一篇文件。 output_file.txt : 输出文件.
##使用kmeans模型对新闻数据进行聚类 #使用简要说明 python test.py word_dict.txt center_file.txt input_data.txt output_file.txt word_dict.txt : 新闻词带,即统计语料中的词频率,去掉单字以及只出现一次的词 center_file.txt : 从语料中抽取5篇作为初始的中心点。为了效果明显,每类别中选取一篇作为初始中心。 input_data.txt : 已用空格进行了分词,每一行代表一篇文件。 output_file.txt : 输出文件.
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kmean_model 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.
kmean_model has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of kmean_model is current.
Quality
kmean_model has no bugs reported.
Security
kmean_model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
kmean_model does not have a standard license declared.
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kmean_model releases are not available. You will need to build from source code and install.
kmean_model has no build file. You will be need to create the build yourself to build the component from source.
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kmean_model Key Features
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kmean_model Examples and Code Snippets
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Install kmean_model
You can download it from GitHub.
You can use kmean_model 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.
You can use kmean_model 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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