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基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件，通过机器学习，获取各个类别文本内容的主要特征，在这个基础上，给出待分类的文件库，系统通过自动分类，对文件库中的文本进行分类，把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file,
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KNN 是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-a machine learning algorithm
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knn算法实现 采用的是 机器学习数据库中的Letter Recognition Data Set-The KNN algorithm is used to achieve the UCI Machine Learning Repository: Letter Recognition Data Set
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Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.
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机器学习算法之KNN与PageRank，经典的机器学习的外文资料，该资料描述详细，便于大家的学习。-The KNN machine learning algorithm and PageRank, classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
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机器学习K近邻分类算法，使用的是C++编程。如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。-K-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
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机器学习KNN算法的实现和测试，手写数字识别系统的测试代码-Implementation and test of machine learning KNN algorithm, handwritten numeral recognition system test code implementation and testing of machine learning KNN algorithm, handwritten numeral recognition system test code
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python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
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Machine Learning C train C Test Assignment Knn Classify
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an opencv visual cpp algorithm imlementing the most used method is machine learning K-an opencv visual cpp algorithm imlementing the most used method is machine learning KNN
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k临近算法，用于数据分类，此代码为机器学习实战的学习代码(K near algorithm, for data classification, this code for machine learning combat learning code)
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KNN算法的matlab实现，包含原始数据(matlab code of KNN in machine learning)
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kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
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人工智能课程的KNN算法实现，包括回归和分类。(Artificial intelligence curriculum KNN algorithm, including regression and classification.)
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机器学习实战，第二章knn源代码，实现k近邻功能。(Machine learning combat, the second chapter knn source code, k nearest neighbor function.)
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KNN实现python实现代码，结合数字数据集，实现数字的分类任务。(KNN implements the python implementation code and combines the digital data set to realize the classification task of the digital.)
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kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
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机器学习/python入门项目一：聚类kNN(Machine learning / python entry project: clustering kNN)
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通过比较欧氏距离，定义K值，实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)
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K最近邻(k-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。该方法的思路是：在特征空间中，如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别，则该样本也属于这个类别。(K-nearest neighbor (KNN) classification algorithm is a relatively mature method in theory and one of the simplest machine
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