Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn () kernel-density naive Bayes, an interface to 'svmlight' and stepclass () wrapper variable selection for supervised classification, partimat () visualization of classification rules and shardsplot () of cluster results as well as kmodes (...

Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clus...

2022年5月12日 · 主要使用了r语言对邮件的头部、正文、附件进行了数据处理；开发了针对文件按邮件的数据函数，以及手动实现了朴素贝叶斯分类方法，和最终结果的可视化。

Transforming of 4 dimensional values in a barycentric coordinate system.

2015年3月31日 · 开发了针对文件按邮件的 数据 函数，以及手动实现了 朴素贝叶斯分类 方法，和最终结果的可视化。 数据 中一共有6000多个邮件，其中三分之二为非垃圾邮件。 对R 语言 感兴趣的同学可以下载 数据 代码使用， 数据 处理部分... 基于 朴素贝叶斯分类 器的文本 分类 算法 (C 语言)概述 基于 朴素贝叶斯分类 器的文本 分类 算法是自然 语言 处理领域中的一种常见算法。 朴素贝叶斯分类 器（Naive Bayes Classifier）是一种基于贝叶斯定理的 分类 算法，它假设每... 朴 …

2024年5月29日 · Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn () kernel-density naive Bayes, an interface to 'svmlight' and stepclass () wrapper variable selection for supervised classification, partimat () visualization of classification rules and shardsplot () of cluster results as well as kmodes ()...

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Description Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as k...

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Socioeconomic data for the most populous countries. Pairwise variable selection for classification in local... Transforming of 4 dimensional values in a barycentric... Plotting Eight Direction Arranged Maps or Self-Organizing...