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kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
KMeansBMPSeg
- 模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clu
K_Means
- K-Means(java)算法 有界面,可从文本中读取数据-K-Means (java) algorithm has interface to read data from text
K-Means
- K-Means动态聚类算法源程序 K-Means动态聚类算法源程序
k-means
- k-means算法用matla实现车牌定位-License plate location achieved with matla
k-means
- 用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。-Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.
k-means
- C++实现的k-means聚类算法 k-means聚类算法是一种划分的聚类算法-k-means c++
K-means
- 用matlab实现的聚类，效果很好，里面有部分数据，点击可以直接运行-Cluster with matlab to achieve good results, which are part of the data, click directly run
k-means
- 统计阿里山的解放路卡上的经费来空间阿苏的来克服骄傲的上来看风景-k means algorithm
k-nearests-neighbour
- k-近邻算法 m文件 及其excel示范-this package invulved a m-file example of k-nearest neighbour and its corresponding excel file
clustering
- 模糊聚类算法，K-means and K-medoid algorithms，Fuzzy C-means algorithm，The Gustafson{Kessel algorithm，The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Gev
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
k_means_Segmentation
- 基于K-Means的纹理图像分割，利用k-means方法实现对于纹理的图像分割-K-Means-based texture image segmentation using the k-means method implementation for texture image segmentation
kmeans
- k means clustering for large amount of data
fuzzy_k_means
- 模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.
k-means
- 对BMP图像进行K_MEANS分类，效果较好，对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
k-means
- k-means算法 ，应 用 于 数 据 挖 掘 中。-k-means algorithm is applied to data mining
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
kme
- k-means Clustring sub routine very useful Texture Image Segmentation