搜索资源列表
amodifiedKmeans
- An Efficient K-Means Clustering Algorithm.
kmeans
- 基于c++的k-means算法，效果比较明显。
yizhongK-meanssuanfadeshixian
- 自己花费整整两个星期写出来的关于数据挖掘K-means算法的论文，论文中详细的进行了论述并提出了改进后的算法以及对比欢迎下载
K_MEANS
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers u
k-means
- kmeans 算法实现，有需要的下载下去，有问题大家一起讨论啊，
K_Means
- k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件
K_MEANS
- K-MEANS算法程序(MATLAB环境)
TextureAnlysis
- TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。
Medoidshift
- 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
newkmeans.tar
- 基本的k-means聚类算法c++实现，对于理解算法的过程非常有帮助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the procedure of k-means algorithm.
kmlocal-1.7.1.tar
- 高效的k-means算法实现，使用了k-d树与局部搜索等提高k-means算法的执行效率，同时包含示例代码，用c++代码实现。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are imple
200412262259022
- k-meansy算法源代码。This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of clu
cluster-1.37.tar
- 聚类算法包,包括K-Means,性能好，有例程
kmeans
- kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array.
gabor_c
- 用gabor滤波器，K-means聚类的方法实现对图像进行纹理分割。
Clustering
- 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。
kmeansNetlab
- KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian m
k-means
- 本代码主要对 K_means 算法用java语言实现 .对需要java kmeans同志很帮助! 并附有测试文件!
ClustererEnsemble
- K-Means动态聚类算法源程序 比较常见的聚类算法。