搜索资源列表
knn
- 相互学习R语言,希望能够获得Matlab代码,我将不胜感激,R语言是不错的开源系统-hi,this is R language.
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.
MATLAB-MBPSO-master
- 一种改进型的PSO的机器学习算法实现,应用欧氏距离作为分类便准,KNN分类法实现分类-An improved PSO algorithm
KNN)
- K NEAREST NEIBOOR SOURCE CODE FOR MATLAB
knn-qrs-detection
- 利用knn的方法来寻找qrs波的源代码 用的matlab-knn qrs detection
KNN
- knn分类器原理实现,可等同于matlab自带KNN函数-knn classification principle to achieve, can be equated with matlab function comes KNN
knn
- KNN算法的matlab实现,包含main文件和训练样本-KNN algorithm matlab implementation, including the main documents and training samples
Knn
- KNN algorithm for matlab
matlab
- 简单贝叶斯,PCA自写函数,自写KNN算法,都能运行,还有一些以后补充。-Simple Bayesian, PCA write function, write KNN algorithm, can run, there are some later added.
KNN
- KNN 算法实现二维平面内的两类样本点的分类。MATLAB-Using KNN to solve the problem of classifying two kinds of sample in the 2-D plane
Adaboost
- 网上看到的matlab做adaboost的小例子,正在学习中(matlab for learning adaboost-knn)
K
- 用的是自己采集的数据,利用matlab自带的工具箱写了四分类的knn算法,效果很好(With their own data collected, using MATLAB comes with the toolbox to write four categories of KNN algorithm, the effect is very good)
K近邻_KNN
- matlab的一份K邻近值KNN分类算法(A K neighbor value KNN classification algorithm for matlab)
MLkNN
- ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
face_shibie
- 使用了两种方法实现人脸识别:hog+svm,KNN(Two methods are used to implement face recognition: hog+svm, KNN)
kdtree
- build kdtree, search knn,
mytest1
- 数据仿真 室内定位 基于knn算法,的数据仿真,程序简单有效(Simulation of indoor positioning)
knn-matting-master
- knn matting , 利用knn进行图像哦让那个和,效果很不错,在matlab上跑平均一张图片耗时5秒,还有改进的空间;(knn matting for images which has a juicy result and also take almost 5 seconds on matlab;)
DecisionBoundaryPlot
- knn classifier matlab
forecast
- K-NN算法,dtw计算距离的方式,还有一定的滤波(KNN dtw zzz zzz zz zzz zz z zz zz zz zzz zzzz zz zzzz)