搜索资源列表
kmeans2.rar
- 数据挖掘k-means算法实现，数据随机生成，维数和聚类数据量自己设置。,Data Mining k-means algorithm, randomly generated data, clustering data dimension and the volume of their own settings.
sift_0_9.rar
- sift算法0.9版；对数据进行提取后聚类；采用聚类算法k-means,sift algorithm version 0.9 right after extracting the data clustering using k-means clustering algorithm
Kmeans
- 基于opencv的kmeans聚类实现 输入文本数据，进行聚类输出-Opencv-based clustering of kmeans the input text data, clustering output
Wallpapers-based-on-mean-shift
- 本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序，‘meanshift.m’文件为调用函数，实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image seg
jake_fcm
- 模糊Fcm代码，在matlab下开发，用c划分聚类进行数据分析-Fuzzy FCm code, developed in matlab with c divided into clustering for data analysis
12358964fcmdemo
- 是遗传聚类的demo，参照自己的数据对程序进行小小的改编即可，使用简单方便。-Are genetic clustering demo, with reference to its own data on the procedure can be little adaptation, the use of easy and convenient.
clustersBOX
- 一个很有用的clustering工具箱,用于数据聚类分析-Clustering a useful tool for data clustering analysis
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.
NNclust
- Neural Network Based Clustering using Self Organizing Map (SOM) in Excel Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the metho
K_Mean
- 很好的聚类代码，可以用于对图像数据聚类。-A good clustering code that can be used to image data clustering.
mode
- 基于VC的各种聚类和分类算法程序。 手写数字或者打开已有的手写数字图像后，在右视图空白处，单击鼠标左键，激活右视图，选择菜单中的各种分类算法，可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。 在左视图上单击鼠标左键，可获得3种数据源：标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a
clustering
- 这是一个非常有用的聚类程序,可以将不同的数据,形状聚成一类,能成功运行,和大家分享-This is a very useful clustering procedure can be different data, the shape of clustered into one group can run successfully, and to share
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
fcm1
- fcm的多维数据聚类（针对5个样本4个属性）类别数为3-the fcm The multidimensional data clustering
FCM
- 在matlab开发环境中，使用模糊C均值聚类的方法对数据进行聚类-In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
Spatial-clustering
- 空间聚类分析的C++程序，对数据进行聚类处理并输出树状图。-Spatial clustering analysis C++ procedures, processes and outputs data clustering tree.
chameleon-data.tar
- 这个是cluto的数据集。用它可以测试该项目的聚类性能。-This data set is cluto. You can use it to test the clustering performance of the project.
Data-Clustering-with-Normalized-Cuts
- 用ncut算法做的数据聚类，经过测试可以正常使用-data clustering with NCUT
code-data
- Matlab programming, used for data clustering and pattern recognition of the source code