搜索资源列表
knn
- 简单KNN算法，基于MATLAB，适合初学者。-simple Knn
knn
- 基于KNN算法的鸢尾花分类代码，可一直在matlab上运行。-Iris classification code based on the KNN algorithm, has been running in matlab.
knn
- 这个是一个matlab knn 算法。很好的，可以跑的。-This is a matlab knn algorithm. Well, you can run.
knn
- matlab程序源代码，能够正确实现，最近邻分类-matlab program source code, to be able to correctly implement the nearest neighbor classifier
KNN
- matlab实现k均值分类，模式识别中的算法，共同学习！-matlab k-means classification, pattern recognition algorithms, learning together!
kNN
- 用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
KNN-classifier
- 用matlab实现KNN算法 用matlab实现KNN算法 -using matlab to implement K-Nearest Neighbour classification. matlab matlab matlab matlab matlab KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN
MIML-kNN
- It is a matlab code for K Nearest Neighbor algorithm.
cvKNN
- This a SV-KNN matlab file, which computes the k-kearest-neighbor in a very efficient manner.-This is a SV-KNN matlab file, which computes the k-kearest-neighbor in a very efficient manner.
KNN-and-fisher-
- 最近邻和fisher分类matlab代码-Nearest neighborand and fisher classification matlab code
knn-softsvm-matlab
- matlab的knn网络，最小二乘算法，softsvm分类器实现，以及简单的交叉验证等，三种产检的方法-knn，softsvm matlab
KNN
- 基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
KNN
- 一个很好的KNN算法的matlab程序，供参考-it is a good program writting with matlab under windows
knn
- knn经典分类器 使用matlab实现可以直接使用-knn classifican
KNN
- k近邻算法的matlab程序实现，注释详尽，通俗易懂，适合初学者-matlab s program of k-nearest algorithm
MLkNN(matlab)
- ML-KNN实现过程，包括训练和测试两个过程-the process of ML-KNN, including training and testing
kNN
- 这是一个Knn分类算法的Python实现，Matlab中有类似的函数-knn classifer
KNN
- 这是自己编的用KNN方法对产生的高斯数据进行分类的MATLAB程序，里面有高斯训练及测试数据的产生，还有分类，程序里有注释-This is their series with the KNN method to classify the Gaussian data generated MATLAB program, which has produced a Gaussian training and test data, as well as classification, program an
knn
- K-nn implemention has written with matlab.
kNN
- matlab code to detect and identify the object feature for analysing and compraing purpose