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knn 不错的分类程序
- 基于MATLAB开发的，是一个不错的分类程序！,MATLAB-based development is a good classification procedure!
knn.rar
- k近邻（knn）分类的文献，英文的，从IEEE下载得到，希望对大家有用,k neighbors (knn) classification of literature, English, and download from the IEEE has been the hope that useful for everyone
knn
- knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。-knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.
knn
- C语言K近邻分类器KNN,有5个简单的例子供学习-knn classifier in C,5 simple examples are included
KNN
- 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。-KNN algorithm
knn
- 一个关于k最近临法分类的matlab程序-A temporary law on the k most recent classification procedures matlab
knn
- knn分类器 基于Visual Basic实现-knn classifier implementation based on Visual Basic
KNN
- Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。-Algorithms Knn, flexible KNN algorithm, an efficient knn classification algorithm, an improved KNN classification algorithm, an optimized K-nearest neighbor collaborative filtering algorith
SerialKNN
- KNN分类算法源代码 KNN分类算法源代码-KNN classification algorithm source code for KNN classification algorithm source code for KNN classification algorithm source code for
KNN
- 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor
kNN
- KNN分类方法，用于文本分类工作的研究。-KNN classification method, for text categorization of the research work
KNN算法代码（matlab）
- 本实验中的KNN分类算法采用Matlab语言实现。 主函数“knnClass.m”读取训练和测试的数据文件，然后调用knn函数进行分类运算，并使用图像的形式将分类结果显示出来。(The KNN classification algorithm in this experiment is realized by Matlab language. The main function "knnClass.m" reads the training and test data fil
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
- 采用KNN（K邻近算法），用matlab平台实现的分类预测算法(Using KNN (K adjacent algorithm), using matlab platform to achieve the classification prediction algorithm)
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型，验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
KNN
- KNN算法及实例操作，可以根据提供的答案进行比对。(KNN example and practice)
kNN
- kNN金陵算法算法源文件，包括输入，过程逻辑算法，输出(Algorithm source file)
knn
- 首先对minist数据集进行pca降维，然后对降维后的数据进行KNN分类(First, the Minist data set is reduced by PCA, and then the data of the reduced dimension is classified by KNN)
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv（手写体识别） 测试集为semeion_test.csv 计算在测试集上错误率（k=1,k=3,k=5,k=10） ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))