搜索资源列表
testDBSCAM_matlab
- matlab实现的DBSCAN聚类分析,通过文件输入数据,不同的颜色代表一类数据(Matlab implementation of DBSCAN clustering analysis, through the document import data, different colors represent a category of data)
(聚类)clustersuvey
- 聚类(Cluster)分析是由若干模式(Pattern)组成的,通常,模式是一个度量(Measurement)的向量,或者是多维空间中的一个点。(Cluster analysis is made up of patterns, usually a measure of a measure, or a point in a multidimensional space.)
image
- 进行图像像素的聚类分析,采用k-mean聚类分析,速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
kmeans
- 用于分类 聚类分析 实现故障诊断分类 信号识别(Classified clustering analysis)
《现代模式识别》孙即祥习题答案2 3 4
- 通过最大最小距离算法来对聚类分析进行了仿真(Clustering analysis based on maximum and minimum distance)
sas_cluster
- sas 聚类分析带教程(PPT)含检验数据(clustering analysis band tutorial (PPT) containing test data)
fenlei
- K均值聚类分析,可实现2/3/4类的分类,适用于初学者,为实现5/6类的分类提供想法(k-means clustering analysis)
第9章 聚类分析
- 大数据挖掘,主要包括:数据的分类与聚类分析、智能算法、(Classification and cluster analysis of data)
egtwcc
- 用于灰色模型预测中的灰色端点三角白化权函数聚类分析(Grey endpoint triangular whitening weight function clustering analysis for grey model prediction)
代码
- 先用的层次分析法筛选变量,而后使用聚类分析中的kmeans和pam两种方法,优点在于可以快速聚类,针对较大的数据量(clustering methodology)
代码
- 使用的是深圳市数学建模的电信用户数据,基于数据筛选出高价值用户,并分析他们的消费特点。代码中包括了层次分析法,聚类分析,数据的缺失值、异常值的处理(The code includes the analytic hierarchy process, the clustering analysis, the missing values of the data, and the handling of the abnormity values)
Cluster analysis
- 对输入的数值进行聚类分析,分析阈值可自己设置,聚类方法可以分为欧氏距离和夹角余弦两种(The value of the input is analyzed by cluster analysis, and the threshold can be set by itself. The clustering method can be divided into two kinds: Euclidean distance and angle cosine.)
FCM
- 数学建模评价模型中常用到的聚类分析法,聚类是将一组给定的未知类标号的样本分成内在的多个类别,使得同一类中的样本具有较高的相似度,而不同类中的样本差别大,聚类分析的目的是揭示和刻画数据的内在结构。(The clustering analysis method commonly used in mathematical modeling evaluation model. Clustering is to divide a set of samples of unknown class marks
Hierarchical clustering
- 可以进行聚类分析中的层次聚类,是经典聚类中常用的方法。(Hierarchical clustering in clustering analysis is a common method in classical clustering.)
Untitledk
- k-means聚类分析,用于聚类分析算法,距离聚类(K-means cluster analysis)
tvnpv
- 用于特征降维,特征融合,相关分析等,包括AHP,因子分析,回归分析,聚类分析,粒子图像分割及匹配均为自行编制的子例程。( For feature reduction, feature fusion, correlation analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines them
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)
61549826Hierarchical
- 基于电力系统节点无功电压控制灵敏度,电气距离的聚类分析(Cluster Analysis of Reactive Power and Voltage Control Sensitivity and Electrical Distance of Power System Nodes)
04825210PCA1
- 对碰撞信号特征进行降维和聚类分析,提高分类精度(Reducing dimension and clustering analysis of collision signal features to improve classification accuracy)
k均值聚类
- 通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具,对两个数据集聚类,并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)