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简易的矩陣加密編编码法
- 算法介绍 矩阵求逆在程序中很常见，主要应用于求Billboard矩阵。按照定义的计算方法乘法运算，严重影响了性能。在需要大量Billboard矩阵运算时，矩阵求逆的优化能极大提高性能。这里要介绍的矩阵求逆算法称为全选主元高斯-约旦法。 高斯-约旦法（全选主元）求逆的步骤如下： 首先，对于 k 从 0 到 n - 1 作如下几步： 从第 k 行、第 k 列开始的右下角子阵中选取绝对值最大的元素，并记住次
knn_demo
- K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
kNNClassifier
- K-NN 分类器, 用C语言写的.大家一起参考一下. -K-NN classifier, using the C language. U.S. with reference.
fknn
- KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
KNN
- k阶临近算法 可以用于文本分类和加密的应用-k-approaching algorithm can be used for text classification and encryption applications
k-means
- k-means算法。包括一个测试的4类的测试数据集。-k-means algorithm. Including a test of the 4 types of test data sets.
TraditionalPCA
- 利用传统PCA方法进行人脸识别的算法，人脸库为Yale人脸库，主成分分析方法（PCA）是基于K-L变换的统计学方法，K-L变换是数据压缩领域里的一种最优正交变换。-err
knn
- knn 方法为k均值聚类用于数据点的分类-KNN method for k-means clustering for the classification of data points
Knn
- K最近邻分类的代码，附有输入输出和程序使用说明。-K nearest neighbor classification code, with input and output and procedures for use.
k-meansjava
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
KNN
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
knn
- k-nn算法实现分类，模式识别作业，分三类，75个训练集，25个测试集，输出对测试集分类的结果-k-nn classification algorithm, pattern recognition operations are classified into three types, 75 training sets, 25 test set, the output of the test set classification resu
knn
- Dear all: this is the k-nn algorithm, written in Matlab.
kNN_Matlab
- k-NN classifier in matlab
k-nn
- k-nearest neighbour classifier source code
2rar
- 用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者-Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
10122012-Voice-recognition-LPC-VS-MFCC-with-K-NN.
- Voice recognition LPC VS MFCC with K--Voice recognition LPC VS MFCC with K-NN
K---NN
- 以著名的wine数据作为实验样本。包括k-NN算法，交叉验证，PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc.
pres
- 三种分类器：决策树分类器，k-NN分类器和k-means分类器的运行时间以及运行准确率的比较。(Three kinds of classifiers: decision tree classifier, k-NN classifier and K-means classifier running time and accuracy comparison.)
k-nn
- k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor