搜索资源列表
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
Cmeansalgorithmmatlabprocessprocedures
- C均值法的程序算法matlab 程序，本程序用MATLAB实现了聚类分析的功能，保存tex文件中，无数据-C-means algorithm matlab process procedures, the procedures used MATLAB implementation of the cluster analysis function, preservation of tex file, no data
RepeatFCM
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest simila
KMEANS
- 基于MATLAB的kmeans聚类分析，包含数据和源代码，-MATLAB-based kmeans cluster analysis, including data and source code,
SOFM
- Cluster data for image processing
Control-chart-based-on-identification-of-fuzzy-dat
- 基于控制图的模糊资料判别研究Control chart based on identification of fuzzy data-Control chart based on identification of fuzzy data
cluster-analysis
- 聚类分析的matlab源代码，文件中5种方法方法，每种方法都有测试数据-Cluster analysis matlab source code, documentation methods, 5 methods, each method has the test data
cluster-analysisprinciples
- 多元线性分析，之聚类分析原理资料2（与1不同）-Multiple linear analysis, the principle of cluster analysis data 2
DBSCAN
- BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
Cluster-analysis
- 对应聚类分析与盲矿体的地球化学预测 为利用矿区地球化学数据进行找矿靶区预测，采用了对应的聚类分析方法-Cluster analysis and blind orebodies corresponding geochemical prediction for the use of data mining geochemical prospecting target prediction, using the corresponding cluster analysis method
kmeans
- K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value o
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
cluster-analysis
- 对“data4.m”数据，采用两种聚类算法聚类，并对结果进行分析。-Uses two types of clustering algorithm clustering "data4.m" data, the results were analyzed.
MeanShift
- File that given the data to cluster and the bandwith returns the number of clusters, its centroids and its distributions
Cluster
- 使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
wavelet cluster
- clustering of data using wavlet
Geographic-data-analysis-Matlab
- 代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 -Code based on the Matlab software, tells the story of a large number of
cluster-analysis-and-classifiction
- “聚类分析”使用c语言编写，在MATLAB数学工具中，对数据先进行类别划分，然后将目标进行对号入座。压缩文件中有使用说明，可以自行选择模式功能。-Using c language, in MATLAB mathematical tool, identify the data clustering analysis, compressed file with instructions, you can choose the mode function.
cluster
- 使用Matlab自带的库函数对几个国家的若干特征进行聚类。内附数据。-Implementation of cluster for several countries as to their features. With data inside.
icp
- cluster data using iterative scheme