搜索资源列表
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.
K-MeansPISODATA
- 使用IDL语言实现的图像分类，包括K-Means和ISODATA两种方法，程序逻辑清晰，注释详细。-Using the IDL language to achieve image classification, including two methods which are K-Means and ISODATA. The programs are clear in logic. There are also detailed annotations.
k-means-segamen-method
- 本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
KMeans
- K均值算法，Matlab实现，输入分类数，实现分类-K means algorithm, Matlab implementation, enter the number of classifications to achieve classification
ECUconnect
- This source code of program for connecting to ECU via K-line ISO 14230 (KWP2000). -This is source code of program for connecting to ECU via K-line ISO 14230 (KWP2000).
travailenmat
- matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
K-L
- 模式向量维数太大，无法进行模式识别,降维 -k-l
kNN
- k Nearest Neighbor matlab code
PSO_K
- 毕设题目，基于K均值的PSO聚类算法，共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
demo
- 实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
k_svd
- k-svd算法m代码.用于形成冗余字典，对图像进行稀疏分解-m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images
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
sharpen
- 数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 -Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise.
knn
- knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。-knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.
第K小元素
- 这是算法分析与设计一书中的其中一个算法,求第K小元素的源程序,绝对是自己编的,不可能有重复-This is the algorithm analysis and design of a book in which an algorithm, for the first K small element of the source is definitely its own series, it is impossible to repeat
kmeans
- k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
pc
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
kMean
- clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB