搜索资源列表
2rar.rar
- 用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者,Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
knn.kmeans.fisher
- 常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
KNN_Classifier
- 一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
KNN
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
Yong
- Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
knn
- Dear all: this is the k-nn algorithm, written in Matlab.
kNN_Matlab
- k-NN classifier in matlab
TestBruteSearch
- k-NN algorithm,,,test search
k-nn
- k-nearest neighbour classifier source code
ClassifyHomework
- 模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
kNN2010
- k-NN based on Z-score standardized Euclidean distance & weighted voting
k-nnaustralia
- 基于MATLAB环境下k-nn算法分类器对Australia.data的分析-under matlab based on the k-nn classifier analysis for the australia.data
Knearest
- K近邻方法实现0到9数字的模式识别问题。可扩展性很强，方面实现训练和识别。-K nearest neighbor method to achieve 0 to 9 digit pattern recognition problem. Highly scalable, achieving training and recognition.
moja_PVA_normiran_KNN_koncan
- PCA with K-nn classifier(for pictures)
Classification-toolbox
- 通过降维处理，高维数据的分类一般可以转换为2维数据分类。此源码包含一个2维-2类数据分类工具箱。包括：ML，K-NN，SVM，LS，DB-Through the dimension reduction processing, high dimensional data classification commonly can convert to 2 d data classification. This source includes a 2 d-two kinds of data classi
10122012-Voice-recognition-LPC-VS-MFCC-with-K-NN.
- Voice recognition LPC VS MFCC with K--Voice recognition LPC VS MFCC with K-NN
K---NN
- 以著名的wine数据作为实验样本。包括k-NN算法，交叉验证，PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc.
pres
- 三种分类器：决策树分类器，k-NN分类器和k-means分类器的运行时间以及运行准确率的比较。(Three kinds of classifiers: decision tree classifier, k-NN classifier and K-means classifier running time and accuracy comparison.)
k-nn
- k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical al