搜索资源列表
kmeans-image-segmentation
- K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
espectron.c
- An almost complete C++ code for spectral clustering
SRTP1.0
- javaSwing实现的web文档聚类方法研究，不同权值与精度，直接输入新闻网址，可以自动解析并聚类web文档-javaSwing implemented method of web document clustering, different weights and precision, direct input news sites, you can automatically parse and web document clustering
Ant-colony-clustering-ant-colony-
- 蚁群聚类 蚁群聚类 蚁群聚类 -Ant colony clustering ant colony clustering clustering clustering clustering ant colony clustering
Mean-shift
- mean shift algorithme for clustering
Clustering
- 能够对股票数据进行聚类，而且是根据趋势相似性进行分类-Able to share data, clustering, and is classified based on trends and similarities
fast-projective-clustering
- 一种子空间聚类的算法，此算法属于子空间聚类算法-a monte caro algorithm for fast projective clustering，C. M. Procopiuc, M. Jones, P. K. Agarwal and T. M. Murali， Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Kernel-Function-Clustering-Based-on-Ant-Colony-Al
- Cluster analysis one of the several important tools in modern data analysis, and the clustering can be regarded as an optimization problem. The underlying assumption is that there are natural tendencies of cluster or group structure in the da
An-Improved-Ant-Colony-Clustering-Algorithm-Based
- Focused on the disadvantage of classical Euclidian distance in data clustering analysis, we propose an improved distance calculation formula, which describes the local compactness and global connectivity between data points. Furthermore, we i
clustering-based-on-ACO
- 给出了基于基本蚁群算法的聚类程序，达到了很好的效果。-very useful
clustering-based-on-improved-ACO
- 给出了一种改进的蚁群算法的聚类程序，比基本蚁群聚类效果好。-very useful
java
- a Grid-based, and the nearest neighbor clustering algorithm
FCM-vs-ESSC
- 模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）-image segmentation using fuzzy c means & spectral clustering
EVidential-CLUStering
- Clustering approximation of belief functions
Clustering
- Clustering algorithm to cluster different nodes in graph.
GMM
- 高斯k均值程序算法，k-means是一种常用的聚类算法，可以实现数据的聚类。-K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.
Tomcat6-clustering-
- Tomcat6集群和负载均衡.doc 详细说明了如何使用tomcat的集群配置和负载均衡配置-Tomcat6 clustering and load balancing. Doc
Clustering-procedure
- 非常好的各种聚类程序的实现，采用C++实现-Very good implementation of a variety of clustering procedures, the use of C++ implementation
Clustering-algorithm
- 聚类算法程序，VC编写，已编译通过，未调用opencv函数，可以用来学习聚类算法-Clustering algorithm, VC writing, compiled by, no call opencv function can be used to study clustering
jizhong_jibuzhong
- 基于3维直方图的聚类分割,对初学matlab的同学非常有用的哈！-3-D histogram clustering based segmentation matlab beginner students of very useful Ha!