搜索资源列表
Clustering
- duke的tutorial on EM的matlab经典源码，值得一看。-Matlab code for the tutorial on Expectation Maximization，worth a visit.
kcluster
- 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
kmeansclustering
- K means clustering using php.
KNN
- KNN clustering with php
moshishibie
- 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming t
AI
- 6中AI算法，包括路径规划与移动技术、有限状态机，脚本技术，群聚技术，遗传算法，神经网络，每个算法中都有例子程序。-6 AI algorithms, including path planning and mobile technology, finite state machines, scr ipting technologies, clustering techniques, genetic algorithms, neural networks, each algorithm, ther
datamining
- 数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
C-means
- 使用c-均值聚类算法在IRIS数据上进行聚类分析，随机选择三个初始聚类中心，经过多次迭代，最终将150个样本分为三类。-Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 samples will eventually fall into
FuzzyCMean
- 实现了Fuzzy C-Mean的方法，这是一种基于模糊数学的聚类方法，很好用！-Implementation of Fuzzy C-Mean method, which is a math-based Fuzzy Clustering Method, a very good use!
ants_clustering
- 蚂蚁聚类算法源代码(ant based clustering algorithm)，直接下载～-ant based clustering algorithm
ECM
- 一种在线聚类程序，能够实现数据的在线聚类，对于实时监控系统很有用-An online clustering procedures, can achieve data online clustering for real-time monitoring system is useful
FCMPCMclusterinalgorithmMATLABprocedures
- FCM,PCM聚类算法MATLAB程序，简单但能运行-FCM, PCM clustering algorithm MATLAB procedures, but easy to run
MATLAB
- 层次模糊聚类的算法实现，一个用C或者C++写的kmeans算法，最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm
FuzzyClust
- FuzzyClust 模糊聚类 用C#语言描述.聚类方式包括:全部,按λ值,按规定类别数-FuzzyClust fuzzy clustering described using C# language. Clustering methods include the following: all, according to λ values, in accordance with the provisions of several categories
AntDemo.tar
- 蚁群聚类的java源码ant colony clustering by java-ant colony clustering by java
Ant_Colony_Clustering_Algorithm
- 蚁群聚类算法及其源码[matlab] 代码是可以执行的 -Ant Colony Clustering Algorithm and its source code [matlab] code is executed
thesis
- a thesis for clustering algorithms
FUZZCLUST
- fuzzy clustering and data analysis toolbox
ClusterPackV10
- 聚类分析工具箱 亚历山大博士写的，用于聚类分析，功能比较全-Cluster Analysis and Cluster Ensemble Software ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in t