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Cluster
- 一个利用KDD1999数据集而完成的改进K-means聚类算法的实现.
以K－均值聚类结果为初始解的模拟退火聚类
- 由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local character
zhong
- 系统聚类算法K-means 属于聚类分析中一种基本的划分方法，常采用误差平方和准则函数作为聚类准则，该算法在处理大数据集时是相对可伸缩且高效率的，同时具有潜在的数据并行性。但是这种算法依赖于初始值的选择以及数据的输入顺序；此外，当运用误差平方和准则函数测度聚类效果时，如果各簇的形状和大小差别很大，为使误差平方和 Jc 值达到最小有可能出现将大的聚类簇分割的现象。-system clustering algorithm K-means cluster analysis is a basic met
kmean
- 使用k-means算法对150个数据集进行分簇。-K-means algorithm using 150 data sets to carry out sub-cluster.
knn
- k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
kmeans
- 基于K-means的模糊聚类分析方法，很有用的-Based on the fuzzy K-means cluster analysis, very useful
MatlabFuzzyClusteringAnalysis
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
colorimagek_means
- 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-fr
Image-Kmeans
- use the k-means algorithm to cluster pixels into a number of clusters representing the texture regions.
k_means
- 常用的k平均聚类 用于聚类分析 代码实现适用的是matlab-k means cluster applied to cluster analysis coded by matlab
kmeans
- K-means聚类,支持任意维数的样本和任意K值-K-means cluster
gak-means3
- 基于遗传算法的k-means聚类分析代码 欢迎下载-Based on Genetic Algorithm k-means cluster analysis of the code are welcome to download
kMeansCluster
- K Means Cluster Matlab Source Code
kmeans
- K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
clust
- cluster data, use for the such as k means clustring
k-means-new
- 聚类算法的C++实现，实现了一维点的聚类，命令行输入-Clustering algorithm C++ implementation to achieve the one-dimensional point of the cluster, the command line enter
KMEANSCLUSTER
- 基于C语言的K-means聚类分析，可完成图像分割-C language-based K-means cluster analysis of image segmentation
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
K-Means
- 数据挖掘k均值聚类 vc++ 环境运行-data minning cluster k-method
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.