搜索资源列表
matlab
- 聚类基本算法代码，包含层次聚类，简单聚类，c均值，KNN等-Clustering basic algorithm code, including hierarchical clustering, a simple cluster, c mean, KNN, etc.
KNN-and-SVM
- 模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm-pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm
KNN
- KNN算法matlab实现分类和手写识别-KNN algorithm
knn
- matlab环境下knn算法的实现，机器学习-matlab environment knn algorithm, machine learning
knn
- matlab实现Knn分类，比较简单实用 可以直接验证 -matlab achieve Knn classification, relatively simple and practical direct verification
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)