搜索资源列表
knn
- 最近邻算法(KNN)matlab代码实现，附数据集-Nearest Neighbor algorithm (KNN) matlab code, with data sets
pattern1_a
- . PCA人脸识别 A．闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类，分析选取不同的主分量个数K，对识别率的影响 -. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images as a test. That is a total of
fisher
- 利用Fisher方法和最近邻分类实现两类数据的分类。可直接运行。-The Fisher method and the nearest neighbor classifier to achieve two kinds of data classification. Can be directly run.
fnn
- false nearest neighbor calculation on a signal as a chaotic indicator
The-image-registratio-SURF
- 首先用 SURF 方法提取特 征点 其次用最近邻匹配法找出对应匹配点对 结合 RANSAC 和最小二乘法求出图像之间的映射关 系 最后利用所求的变换参数插值得到配准后的图像-First with SURF extracted feature points followed by the nearest neighbor matching method to find the corresponding matching points RANSAC and least squares me
PCA
- PCA进行人脸识别，识别阶段应用了三近邻方法 -PCA for face recognition, the recognition phase of the three nearest neighbor method applied
KNN
- K最邻近密度估计分类,K最邻近密度估计技术是一种分类方法，不是聚类方法。-K nearest neighbor classification density estimation, K nearest neighbor density estimation technique is a classification method, not the clustering method.
small-world-networks
- 1998年, Watts和Strogatz 提出了小世界网络这一概念,并建立了WS模型。 实证结果表明,大多数的真实网络都具有小世界特性(较小的最短路径) 和聚类特性(较大的聚类系数) 。 WS小世界模型构造算法 1、从规则图开始：考虑一个含有N个点的最近邻耦合网络，它们围成一个环，其中每个节点都与它左右相邻的各K/2节点相连，K是偶数。 2、随机化重连：以概率p随机地从新连接网络中的每个边，即将边的一个端点保持不变，而另一个端点取为网络中随机选择的一个节点。其中规定，任意两个不同的
LDA
- LDA:线性判别分析方法。用于实现线性数据降维。采用K近邻分类器对数据进行分类-LDA: linear discriminant analysis method. Used to achieve linear data dimensionality reduction. Using K-nearest neighbor classifier for data classification
12341
- 最近邻分类器，采用matalb来进行k最近邻分类的方法，应用于模式识别。-Nearest neighbor classifiers using matalb for k nearest neighbor classification methods used in pattern recognition.
Image-Interpolation-Algorithm
- 文档包括双线性插值算法和最近邻域算法的详细介绍，以及算法的相关计算。-Documentation includes bilinear interpolation algorithm and the nearest neighbor algorithm which is described in detail, as well as algorithms related calculations.
fcm
- 这篇代码是基于最近邻距离的聚类分析方法及KFCM聚类分析的matlab程序。-This code is based on nearest neighbor clustering analysis method and KFCM clustering analysis matlab program.
kdtree-master
- K-d tree implementation in C++ for NN and KNN search Templated k-d tree example that makes use of boost geometry point classes. The k-d tree is build in bulk and supports N dimensions. The implementation contains a recursive and iterative ne
An-improved-K-nearest-neighbor-algorithm-for-text
- its about imporvment of KNN algorithm
knnClassification
- 十大经典人工智能算法之一——K最近邻Matlab实现-One of the top ten classical artificial intelligence algorithms- K nearest neighbor Matlab implementation
classifier
- 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.
Myknn
- KNN邻近算法,程序运行结果显示所有样本以及其类别，待分类样本所属的类（{1,18,11,11,0.5513196}属于"2"类），以及它的5个最近邻的类别和与它之间的距离。内有详细说明文档。-k-Nearest Neighbor algorithm
recognition
- 一种加权K近邻语音情感识别程序，包括部分柏林语音情感库-A Weighting K-nearest neighbor speech emotion recognition program, including some libraries Berlin Speech Emotion
KNN
- kNN最近邻算法实现无线室内定位，给出了全部的源码，并对其定位精度给出图示结果-KNN nearest neighbor algorithm implementation wireless indoor positioning, all of the source code is given, and the positioning accuracy of the graphic results is given
PCA
- 该算法主要是模式识别的分类算法，KNN 最近邻分类算法-The algorithm is pattern recognition classification algorithm, KNN nearest neighbor classification algorithm