搜索资源列表
TextClustering
- 文本聚类，VC编程实现，作为一种无监督的机器学习方法，聚类由于不需要训练过程，以及不需要预先对文档手工标注类别，因此具有一定的灵活性和较高的自动化处理能力-Text Clustering, VC programming, as an unsupervised machine learning method, clustering by eliminating the need for the training process, and do not need to manually pre-ma
kmeans_rbf
- 一个简明的基于聚类的RBF（径向基）神经网络设计算法-A simple clustering-based RBF (Radial Basis Function) neural network design algorithm
mpi_kmeans
- MPI implementatiobn of k-means clustering
spectralclustering-1.0
- 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站 http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering a
MY_ONU_ISOCLUSTERING
- here is fantastic iso clustering code which i test it frequently and find it satisfactory. it does k maen clustering in two dimensional data.
isodata
- isodata是个重要的非监督聚类算法，本文件提供了isodata的c++描述-isodata is an important unsupervised clustering algorithm, this paper provides a isodata of c++ descr iption
a
- 该代码是聚类算法的一种改进，是基于微粒群算法的k-means聚类算法-PSO based k-means clustering algorithm
ACOC
- Paper Clustering using Ant Colony Optimization Algorithm
Ant_Clustering
- Some references of Ant-Based Clustering
ISODATA
- ISODATA聚类算法，很不错的，大家可以参考一下-ISODATA clustering algorithm, it is good, we can refer to it
FCMandCFCM
- FCM算法是应用最广泛的聚类分析方法之一，CFCM也是模糊数学中的一种聚类分析算法。 现在给出的这两个算法是C++代码实现的。 -FCM algorithm is the most widely used method of cluster analysis, CFCM is a kind of fuzzy clustering analysis in the algorithm. Now given by the two algorithms is the C++ code to achi
som
- based text clustering algorithm, has a detailed analysis and examples
PSO_vb
- 这是本人的毕业设计，用vb实现基于pso算法的文档聚类算法-This is my graduation project using vb algorithms pso-based Document Clustering Algorithm
th
- 模糊聚类算法的一部分，加入了邻域信息，可以更好的分割图像-Part of fuzzy clustering algorithm, joined the neighborhood information may be a better image of the partition
JULIEI
- 用MATLAB进行时间序列分析,聚类分析和启发式算法一些介绍。个人收集，很有价值-Using MATLAB to carry out time series analysis, clustering analysis and heuristic introduction. Personal collection, great value
textclusterr
- 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
k-means
- the C++ implementation of k-means for clustering
K_means_clustering
- 一个K分簇聚类算法，简单，易于学习，可以进行扩展-A K sub-cluster clustering algorithm, simple, easy to learn
globle_graph_mining
- 图挖掘，图聚类 m文件主要包含4个功能：图的生成，图相似度分析，节点符号化，边权挖掘 ，详细说明见注释-graph mining, graph clustering
clustering_algorithm
- 数字识别采用多种算法：聚类算法，遗传算法-Digital Identification using a variety of algorithms: clustering algorithm, genetic algorithm ...