朴素贝叶斯分类器

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朴素贝叶斯分类器，使用matlab语言编写，对文档进行自动分类

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The Naive Bayes classifier is a machine learning algorithm that uses probability theory to classify documents. It is commonly used in natural language processing and text classification tasks. The classifier is based on the Bayes' theorem and assumes that all features in the data are independent of each other. The algorithm is implemented in various programming languages, including Matlab, which is used to automatically classify documents. By using Naive Bayes, the computer can learn from previously classified documents and use that knowledge to classify new documents, making it a powerful tool in information retrieval and data analysis.