Description: 用matlab实现的朴素贝叶斯分类源代码，希望对大家有些帮助-Using matlab realize the Naive Bayesian Classifier source code, in the hope that some U.S. help Platform: |
Size: 1024 |
Author:fanny |
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Description: naive bayes方法是用于分类的一个传统方法，它是产生的比较早的一个方法，分类的准确度比较高。-naive bayes method is used for the classification of a traditional method, which is generated as early as one way of comparison, classification accuracy is relatively high. Platform: |
Size: 1024 |
Author:李萍 |
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Description: 本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples Platform: |
Size: 3072 |
Author:maling |
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Description: 贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．-Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share Platform: |
Size: 2048 |
Author:huang fang |
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Description: 这是一个模式识别，关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code Platform: |
Size: 4096 |
Author:ivan1988716 |
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Description: 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection Platform: |
Size: 11264 |
Author:satanwings |
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Description: 利用matlab实现的数值型贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve numerical Bayesian classifier source code can be used to classification or identification, it is worthy of collection Platform: |
Size: 4096 |
Author:satanwings |
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Description: 利用matlab实现的朴素贝叶斯分类器的源代码，可以用来分类或识别，自己编写的，请多指教-Using matlab Naive Bayesian classifier to achieve the source code can be used to classification or recognition, I have written, and like him Zhijiao Platform: |
Size: 4096 |
Author:satanwings |
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Description: 这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine
Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。-This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:) Platform: |
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Author:hhj |
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