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this program is used for classification of noisy pixel identification by using naive bayes classifier
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Naive Bayes classifier
Input: Training set and testing set, each row represents a instance, last column is label, begins from zero
Output:predict label by Naive Bayes as well as its accuracy
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Graphic Detection and Recognition using Bag-of-word method, finding feature vector with K-means classifier, training or testing data with Naive Bayes Classifier or PLCA method.
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基于文本的朴素贝叶斯分类器。是一个完整的工程。具体看readme-Text-based Naive Bayes classifier. Is a complete project. Specific look at readme
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对朴素贝叶斯算法的进一步改进。朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类性能的方法。为进一步的研究打下坚实的基础-Naive Bayes algorithm further improved. Naive Bayes classifier is a simple and efficient classifier, but its attr
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