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An-improved-K-nearest-neighbor-algorithm-for-text
- its about imporvment of KNN algorithm
llde_cmb
- 人脸检测一直是人们在研究的问题，流形学习用于人脸检测中的特征提取，用PCA与constructM进行降维，KNN分类器用于分类。取得非常好的效果。-Face detection has been the problem of people in the study, manifold learning for face detection feature extraction using PCA and constructM dimen
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
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
INDOORLOC
- In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.
knn_self
- 数据统计学习中的knn算法，实现对多组数据的交叉验证-Statistics Learning knn algorithm to achieve the multi-group cross-validation data
UCI
- KNN近邻算法程序 绝对可用 -KNN nearest neighbor algorithm program is absolutely free program is absolutely free KNN nearest neighbor
knnsf
- KNN算法的matlab程序，用于故障监测的程序-KNN algorithm matlab procedures, the procedures for fault monitoring
TCM-NN-Algorithm
- TCM-KNN 算法 用于聚类分析 Debug内包含txt格式dataset 以及测试数据 程序可实现 对测试数据的自动分类-TCM-KNN algorithm for clustering analysis Debug txt format dataset contains data and test procedures can be realized on the automatic classification of t
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn
classifier_knn
- 最近邻分类器（KNN）的C＋＋源码，适合模式识别、图像处理开发者用！-nearest neighbor classifier (KNN) of the C++ source code, suitable for pattern recognition, image processing developers use!
KNN_aver_filter
- KNN均值滤波实现，对高斯噪声效果较好，对椒盐噪声效果一般！-Mean Filter KNN realize the effect of Gaussian noise is better, the general effect of salt and pepper noise!
image-feature
- 把 SIFT 算法应用在牙齿模型图像上，检测牙齿图像的特征点。 方法：首先采用高斯差分算子 DoG 搜索整个图 像的尺度和位置信息，从而确定具有代表性尺度、方向的特征点。基于其稳定性选择关键点，得到一个详细的模型以确定每个候 选点的合适位置和范围。基于局部图像梯度方向信息将方向矢量和关键点对应起来。在选定范围内的每个关键点周边区域测量 局部图像梯度，并采用 KNN 算法进行特征匹配。 结果：通过大量的实验和与其他特征提取方法
SerialKNN
- KNN-是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method for classification and regression, that p
LDA
- 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-example: demo creatData: generate data creatTrainLabelMat: generating data label LDA:
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
Assignment_1
- KNN algorithm,it simply implements the KNN algorithm in datamining it is not complete but can get the idea of properly implementing it
KNNDriver
- 基于Hadoop的KNN分类算法，在MapReduce框架下编写，集群环境下调试成功。-KNN classification algorithm based on Hadoop, MapReduce fr a mework under preparation, cluster environment debugging success.
KNN_2011211651
- 应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import