搜索资源列表
kmean
- c#下实现图像颜色k均值聚类 将像素点颜色分类并合并-c# implementation of color image k-means clustering to classification of color pixels and merge
lyr
- implementation of k means algorithm source code
kmean
- 基于OpenCV的二元吗,实现了划分随机分布点集的K-均值算法。按照类别分组的输入样本顺序输出包含样本类别索引的数组labels(i),存储在样本矩阵的第i行中。-Based on the binary OpenCV吗, implementation of the demarcation point set of randomly distributed K-means algorithm. Input in accordance with the type of packet contains
200532590150
- 实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm
DRAGON2
- 图像处理中的K均值算法 效果还不错 ^_^-Image processing algorithm for the effect of K-means good ^ _ ^
fastkmeans
- fast k-means algorithm
kmean
- 这是一个模式识别中的K均值算法的一个简单仿真分类实例,其中female.txt和male.txt是训练样本,test.txt是测试样本,分类效果非常好,对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm of the K-means classification of a simple simulation example is one of female.txt and male.txt training samples, te
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
kmean
- k-means 算法的工作过程说明如下:首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然后再计算每个所获新聚类的聚类中心(该聚类中所有对象的均值);不断重复这一过程直到标准测度函数开始收敛为止。-k-means algorithm process as follows: First of all, the object data from the n choose k
Kmean_v2_1
- K-Means using Visual Basic 6
patternrecognition
- 文件中包含多种模式识别常用的算法,如:ISODATA、 K均值、 感知器、 LMSE最小误差、 贝叶斯,希望对大家能有所帮助-File contains a variety of commonly used pattern recognition algorithms, such as: ISODATA, K-means, perceptron, LMSE the smallest error, Bayesian, in the hope that we can help
KdKeys.DataMining.Clustering.KMeansCS100
- K Means Algrithm it is in v c#.
1
- this is e k-means alghorithm
colorimageretrivew
- 实现彩色图像显著区域提取,基于注意力机制,使用算法包括k-means,分割等。-salient region detection
20090501SleepingKoala
- 所上传文件包包括6种vc++源代码:使用opencv的实现可视图的静态路径规划;简单的svm算法;基于vc2008的图像匹配(多工程结构);基于局部搜索的K-means聚类算法;三维匹配中的ICP算法;视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
KAV
- KAV是利用Visual C++ 6.0编写的一个小程序,能实现对特定数据结果的文本数据进行聚类分析,所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.
SimpleKMeans
- k-means聚类算法 指定类别数为K,对样本集合进行聚类,聚类的结果由K 个聚类中心来表达,基于给定的聚类目标函数(或者说是聚类效果判别准则),算法采用迭代更新的方法,每一次迭代过程都是向目标函数值减小的方向进行,最终的聚类结果使目标函数值取得极小值,达到较优的聚类效果。-k-means clustering algorithm for specific classes of K, the collection of samples for clustering, clustering t
1
- 这是针对一维K-means算法的实现,如果想针对多维的k-means算法流程一样,你只要设计一个多维数据点的数据结构就可以了-This is one-dimensional K-means algorithm, if you want for multi-dimensional k-means algorithm of the same process, you need to do is to design a multi-dimensional data points of the data
kMean
- the attached file contains k means code using visual basic
KmeansReview
- A good review of the k-means algorithm