搜索资源列表
K-junzhi
- 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
realDBSCAN
- 二维的DBSCAN聚类算法，输入（x,y）数组，搜索半径Eps，密度搜索参数Minpts。输出: Clusters，每一行代表一个簇，形式为簇的对象对应的原数据集的ID-two-dimensional clustering algorithm, the input (x, y) array, search radius Eps. Minpts density search parameters. Output : Clusters, each firm on behalf of a cluste
pixel_region_grow
- 像素聚类区域成长法－－ 顾名思义，此方法从一个种子像素开始，通过如平均灰度，组织纹理及色彩等性质的判断，将具有类似性质的像素逐一纳入所考虑的区域中，使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth -- the name implies, this method from a seed pixels, through such as average gray, the color and texture orga
julei2
- 自己编写的使用聚类方法进行彩色图象分割 效果还可以-themselves prepared for the use of clustering methods color image segmentation can also effect
Clustering_jin
- 数字图像模式识别技术及工程实践\\源代码\\Clustering\\矢量量化的C语言实现-digital image pattern recognition technology and engineering practice \\ source \\ Clustering \\ Vector Quantization C Language
clusteringkmc&fcm
- KMC和FCM是聚类算法中最经典最常用的算法-KMC and FCM clustering algorithm is the most classic of the most commonly used algorithm
kmean
- 这是用C++作的K-均值聚类算法，模式识别当面的，希望对大家有所帮助！-C is for the K-means clustering algorithm, pattern recognition face-to-face, we want to help!
C--K-Means
- 这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K - Means clustering algorithm source, the need to please, please exhibitions, thank you!
Clusteranalysises
- Detailed analysis of the clustering and classification : including density clustering, etc. -Detailed analysis of the clustering and cl assification : including density clustering, etc.
curecode
- CURE算法实现 一种分层次的聚类算法 效果较好-CURE algorithm to achieve a hierarchical clustering algorithm better results
DBSCANCode
- DBSCAN源代码,是一种典型的基于密度的聚类算法-DBSCAN source code, is a typical example of the density-based clustering algorithm
dynamic_kmeans
- 该算法实现数据的聚类,效果较好,在MATLAB7.0中运行通过-the algorithm for data clustering, the effect is better in the running through MATLAB7
2655143923
- 此程序是在VC环境下实现k-means均值聚类算法-this procedure is in VC environment to achieve k-means clustering algorithm Mean
Clusterdemos-src
- 一个k-means算法的改进。使用了模糊聚类的方法，并且有演示过程。-a k-means algorithm improvements. The use of fuzzy clustering method, and a demonstration of the process.
k均值聚类算法分析
- k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
FCM[matlab]
- FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
waffles-2006-05-25
- 一个非常有用的开源代码，包括几个常用的算法如聚类，傅立叶变换等等，用户可自由修改代码-a very useful source code, including several commonly used algorithms such as clustering, and so on Fourier transform, users are free to modify the code
kmeansjulei
- 这是用VC++编写的K_means 聚类算法的程序，详细的运行说明在文件夹的文本说明里！-This is the preparation of the VC K_means clustering algorithm procedures, a detailed statement of the operation folder notes to the text!
cmeans
- 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the lar
k-average
- k平均聚类算法，实现聚类的图形显示-k average clustering algorithm to achieve the cluster graphics