搜索资源列表
KNN_0
- knn文本分类算法，很好，很强大-KNN text categorization algorithm, very good, very powerful
TextClassify
- 文本分类算法，含有三个分类算法，朴素贝叶斯，KNN,VSM-Text classification algorithms, containing three classification algorithms, Naive Bayes, KNN, VSM
KNNDEMO
- KNN DEMO This is a binary classification problem defined on a N*N field.
article
- 一个简单的kNN算法实现，感兴趣的可以-A simple kNN algorithm, can be interested in
ImgPro_OpenCV_1
- 在VS.net2003下编译的，用了OpenCV开发库函数，包括bmp、jpeg格式图像的显示和存储，图像处理包括KNN均值，KNN中值，傅立叶变换，图像分割。-In the next VS.net2003 compiled using the OpenCV library function development, including bmp, jpeg format image display and storage, image
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.
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!
setup_mathpack80_D6
- SDL Component suite for D6 SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程. 3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FF
setup_chempack80_D6
- SDL Component suite for D6 SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程. 3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FF
events
- * acousticfeatures.m: Matlab scr ipt to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab scr ipt to extract feature information from acoustic event timeseries. * extractevents.m
fknn-fxtoolbox
- FKNN:模糊KNN分类算法，分类原理简单，是在KNN的基础上扩展而成-FKNN: Fuzzy KNN classification algorithm, a simple classification principle is based on the expansion of KNN by
Classifier4J-0.6-dist
- Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能-Classifier4J is a very good java-based classifier, which has Native bayes and KNN methods, such as text classification. It also provides a summar
classifier
- 分类器的设计，包括knn方法和BP的方法。对一系列样本点进行分类-Classifier design, including methods and BP KNN method. On a series of sample points to classify
KNNBP
- KNN和BP的算法实现。输入一系列的样本值，进行训练和分类。源码是实现了两个分类器，已经调试通过-KNN and BP algorithm. Enter a series of sample values, for training and classification. Source is to achieve the two classifiers have been debugging through
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
MIL-Ensemble
- This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with
LinearDiscriminant
- 线形判别分析算法和knn最近邻算法的实现-Linear discriminant analysis algorithm and KNN nearest neighbor algorithm
rtree
- R-tree用于索引多维数据对象，利用数据对象间的相对位置建立最小边界矩形(MBR),可在此结构上完成高效查询算法如kNN与范围查询-R-tree Index for multi-dimensional data objects, using data objects between the relative position of the establishment of the minimum boundary rectangle
dd_tools
- ddtool,实现one class classification.包括gaussian 模型， gaussian 混合模型，Parzen density，knn,kmean,kcenter等方法-ddtool, the realization of one class classification. including the Gaussian model, gaussian mixture model, Parzen density
KNNclassifier
- 一个很简单的练习使用KNN分类的代码,学习使用.将K分类写成了函数,方便使用-A very simple exercise using the KNN classification code, learning to use. Will be written in the function K classification, user-friendly