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KNN(CSHARP)
- 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 typ
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本分类中广泛应用起来。-Naive
knn
- k nearest neiborhood in macine learning
KNN
- 我用VC++编写的KNN分类器，希望对同学们的学习有帮助。-I use VC++ to prepare the KNN classifier, in the hope that the learning of students there to help.
knn
- K近邻（KNN）：分类算法KNN是non-parametric分类器（不做分布形式的假设，直接从数据估计概率密度），是memory-based learning KNN不适用于高维数据（curse of dimension）-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that
kNN
- 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
KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based
Distance-Metric-Learning
- 关于度量学习的一篇经典文章，利用度量学习提高KNN的分类正确率，如果对度量学习有兴趣，这篇是必读的文章-Metric learning about a classic article, the use of metrics to improve learning KNN classification accuracy, if you are interested to measure learning, this is a must r
Machine-learning-Knn-Classify-C-Train-Ctest
- Machine Learning C train C Test Assignment Knn Classify
机器学习，最近邻算法KNN
- machine learning，机器学习算法 KNN算法，最近邻算法 python代码与数据
pr-KNN
- 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
KNN
- 本例程是一个完整的学习KNN算法的工程，使用VS2010+C#编程,含训练数据及测试数据-This routine is a complete learning KNN algorithm works using VS2010+ C# programming, including training data and test data
KNN
- 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)
KNN
- KNN算法的matlab实现，包含原始数据(matlab code of KNN in machine learning)
kNN
- 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)
KNN
- 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.)
kNN
- 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.)
kNN
- 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.)
KNN
- 机器学习 KNN 算法 基础 KNN分类算法 初学者必学 没有代码说明 代码完整(Machine learning KNN algorithm foundation)
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- 机器学习/python入门项目一：聚类kNN(Machine learning / python entry project: clustering kNN)