搜索资源列表
Kmean
- 利用数据挖掘知识和vb实现K-均值聚类分析，本程序提供了训练样本和测试样本， 经过训练正确率达70-76％
K_means
- K-means MATLAB源程序，适用于聚类分析的代码-K-means MATLAB programe
juleifenxi
- 基于C#.net实现了聚类分析的K均值算法-Based on C#. Net realized cluster analysis K-means algorithm
KmeansCluster
- K均值聚类,自编的能够运行的K均值聚类程序，可用于聚类分析-K-means clustering，Self capable of running K-means clustering procedure that can be used cluster analysis
Classifacation
- qt程序，k均值系统聚类分析，模式识别第二章作业-qt program, k-means clustering analysis, pattern recognition chapter jobs
clustering-algorithm
- K-Means动态聚类算法源程序，K-means算法进行了重点分析，K-means算法是最为经典的根据聚类中的均值进行聚类划分的聚类算法-Source dynamic clustering algorithm K-Means program, K-means algorithm are analyzed, K-means algorithm is the most classic based on K-means clustering in the clustering algorithm fo
jaomie
- 一个很有用的程序，基于K均值的PSO聚类算法,借鉴了主成分分析算法（PCA）。- A very useful program, K-means clustering algorithm based on the PSO, It draws on principal component analysis algorithm (PCA).
lenhai
- 计算多重分形非趋势波动分析，小波包分析提取振动信号中的特征频率，基于K均值的PSO聚类算法。- Calculate the multifractal trend fluctuation analysis, Wavelet packet analysis to extract vibration signal characteristic frequency, K-means clustering algorithm based on the PSO.
tenghui
- 用于时频分析算法，这是一个好用的频偏估计算法的matlab仿真程序,基于K均值的PSO聚类算法。- For time-frequency analysis algorithm, This is a useful frequency estimation algorithm matlab simulation program, K-means clustering algorithm based on the PSO.
qeifun_v42
- 双向PCS控制仿真，基于K均值的PSO聚类算法,基于chebyshev的水声信号分析。- Two-way PCS control simulation, K-means clustering algorithm based on the PSO, Based chebyshev underwater acoustic signal analysis.
piejao_V3.2
- 基于K均值的PSO聚类算法,与理论分析结果相比，单径或多径瑞利衰落信道仿真。- K-means clustering algorithm based on the PSO, Compared with the results of theoretical analysis, Single path or multipath Rayleigh fading channel simulation.
gengpeng
- 一种流形学习算法（很好用），相关分析过程的matlab方法，基于K均值的PSO聚类算法。- A fluid manifold learning algorithm (good use), Correlation analysis process matlab method, K-means clustering algorithm based on the PSO.
laigui
- 主要为数据分析和统计，采用偏最小二乘法，基于K均值的PSO聚类算法。- Mainly for data analysis and statistics, Partial least squares method, K-means clustering algorithm based on the PSO.
taokui_v44
- 基于K均值的PSO聚类算法,高斯白噪声的生成程序，迭代自组织数据分析。- K-means clustering algorithm based on the PSO, Gaussian white noise generator, Iterative self-organizing data analysis.
ClusterAnalysis_2014.11.4
- 模式识别的聚类分析。K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。终止条件可以是没有（或最小数目）对象被重新分配给不同的聚类，没有（或最小数目）聚类中心再发生变化，误差平方和局部最小。-Pattern recognition clustering
《MATLAB统计分析与应用》程序与数据
- 数据的导入导出，将数据写入到txt，从TXT读取数据；数据预处理，归一化处理；聚类分析，K均值聚类等(Import and export data, write data to TXT, read data from TXT, data preprocessing, normalization processing, clustering analysis, K clustering, etc.)
238670
- 用K均值算法实现聚类分析的Vc源码,界面和算法都有()
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
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)
kmeans
- 利用k均值聚类算法对数据进行聚类分析（数据点通过随机生成）(Using k-means clustering algorithm to cluster data (data points are generated randomly))