搜索资源列表
将维对分和K均值算法分割图像
- 利用聚类算法分割图像,将维对分法只可将图像分为2部分,可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数,聚类中心为随机值,当然也可以采用其他参数,程序编译为EXE文件后速度还可以接受,但尚有改进的余地,那位高手有空修改的话,请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two p
k均值聚类算法分析
- k均值聚类算法分析,采用C++编程技术,提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
kmean
- 包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
123456789K_Average
- K均值算法的matlab代码,使用起来很简单,对于模式识别的效果也很好,初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
K-means
- kmeans算法代码,已经通过验证,可以正常使用,没有病毒
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
kmean
- 包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类,代码中附加了详细的原理性说明,还有相关例子提示,效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
KMeansAlgorithmCPP
- 本代码能够实现的是模式识别中的一种分类方法-k均值聚类算法-This code can be met is a kind of pattern recognition of the classification method-k-means clustering algorithm
k_means
- 功能完善的、代码简单清晰、注释良好的k均值聚类算法-The function is perfect, code simple clear, annotation good k-means clustering algorithm
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下,用 C++语言在基于KNN及K-means算法下,实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly
kmeans
- k均值聚类算法MATLAB,自适型的代码-This is a nice work
k-means
- 本代码主要实现了k均值聚类算法,通过c++在vc软件下实现聚类。-The code is mainly achieved k-means clustering algorithm, c++ in vc achieve clustering software.
Kmeans
- k均值聚类算法代码, k均值聚类算法代码-k-means clustering algorithm code, k-means clustering algorithm code
K-Means-Clustering-and-PCA
- 此代码为matlab代码,分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中,你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
RBF-k均值聚类
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
MeanShiftCluster
- 该算法实现了均值漂移聚类算法,在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
kjunzhijulei
- 说明K均值聚类算法的流程,并用matlab实现K均值聚类功能(Using MATLAB to implement function of K-means clustering)