搜索资源列表
k-mean
- K-means聚类算法的java实现描述!有详尽的说明,对初学者非常有用!
textureseg
- 用多尺度Gabor小波滤波器组实现纹理分割,其中聚类算法采用K均值聚类,本科毕业设计,省优秀-multi-scale Gabor wavelet,texture segmentation,k-mean clustering
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
K-Mean
- 遥感影像K均值分类算法,针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
KMEANS
- K-Mean聚类算法,对各种格式的图像进行分层聚类。-This is a K-Mean culstering aligroam.
KClustering
- k-聚类算法-k- gathers a kind of algorithm
ClusterBasics-V1.0
- 各类聚类算法程序包,包含各种经典的聚类算法,例如:k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
K-Means
- 这是K-neans动态聚类算法的源程序,是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
K-mean
- K平均聚类法,比较好用,又需要的赶紧下吧-K-clustering method to compare easy to use, but also hastened to the needs of the next bar
k-means_Program
- k-means 算法接受输入量 k ;然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: t
k_means_cluster
- k均值聚类算法 ,c语言实现 了基于均值的聚类分析,同时增加了多维向量分析功能,使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
Kmeans
- 对已知数据进行k均值聚类,数据保存在txt文件(K mean clustering for known data)
image
- 进行图像像素的聚类分析,采用k-mean聚类分析,速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
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
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
K-means
- 利用MATLAB实现K均值聚类算法,加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
Kmeans
- 可以实现K均值聚类的MATLAB程序。但是有点小问题。(The MATLAB program of K mean clustering can be realized.)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法,我做了改进。可以预设一个最大的类数和一个半径,自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi