搜索资源列表
KNN
- K-最邻近分类器的一个实例，实现了对数据的分类，内含测试数据-an example of K-nearest algorithm,containing a set of test data
LDA-human-face-identity
- 人脸识别的matlab程序，包含有 example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索-Face recognition matlab procedures, including a example: demo program creatData: generate data creatTrainLabel
KNN
- 实现了机器学习的算法最近邻分类，效果很好。大家可以试一下-Nearest neighbor classification
knn
- 基于vs的一个KNN最近邻分类器的实现方法-Based on a KNN nearest neighbor classifier vs implementations
knn
- K近邻分类算法实现 in Python -KNN Classfier in Python
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p
FisherFace
- 基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
knn
- KNN简单分类算法C++的实现，大家可以参考下，采用欧式距离，里面包含了knn.cpp以及train.txt，test.txt，rusult.txt-Classification algorithm (KNN), the realization of the c++, you can reference, USES the Euclidean distance, which contains the KNN, CPP and train. TXT, test. TXT, rusult. TXT
knnmyself
- knn分类算法，可以自动将excel转换为mat，可以自行调整参数，第二列为标签-knn classification algorithm can automatically be converted to excel mat, you can adjust the parameters of their own, as a second label
knn
- 最简单的机器学习分类方法knn算法的python实现-The easiest method of machine learning classification algorithm python achieve knn
CLBP
- 利用完整局部二值模式（CLBP）特征提取方法，svm和knn分类器分类进行表情识别的matlab程序源码。并且附有CLBP论文-With a complete local binary pattern (LBP) feature extraction method, svm classifier classification and knn expression recognition matlab program source code. And paper with CLBP
kNN
- 使用python编写kNN算法，包括生成数据集，简单分类器，文本转换等简单算法。-Using python write kNN algorithms, including generating a data set, a simple classification, text conversion simple algorithm.
KNN
- KNN近邻算法分类程序,包含训练数据和测试数据.-KNN classification procedures, including training and testing data.
Knn
- Knn源码，k最邻近方法，是一种统计分类器，属于惰性学习，对于包含数据特征变量筛选尤其有效-Knn source, k nearest neighbor method is a statistical classifier learning are inert, it contains the data for the characteristic variable filter is especially effective
knn-softsvm
- knn，最小二乘，softsvm分类器的matlab实现，以及简单的交叉验证等-knn, least squares, soft svm classifier matlab implementation, and simple cross-validation, etc.
kNN
- k近邻算法，可以简单准确的对数据，按照给定点与设定点的欧氏距离大小，进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
kNNClassification
- 人工智能kNN分类机器学习算法，包括文件读取和处理，还是有借鉴价值的-AI kNN classification machine learning algorithms, including file reading and processing, very good
Fuzzy-KNN
- 模糊KNN.KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。-Fuzzy KNN
kNN
- 机器学习实战中，K近邻算法的实现。包括算法实现，算法分类测试-Machine learning combat, the realization of K nearest neighbor algorithm. Including the algorithm, the algorithm classification test
ML-kNN
- 本程序实现了融合最近邻的ML-KNN算法（即IML-KNN），与KNN进行比较，分类效果更好。-This procedure to achieve the fusion of the nearest neighbor ML-KNN algorithm (ie IML-KNN), compared with KNN, better classification effect.