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用matlab实现K均值聚类算法
- 用matlab实现K均值算法
matlab-code
- 模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
DATA
- matlab数据文件，聚类标准测试数据，K均值聚类等经典算法都可以用。mat文件-matlab data files, the standard test data clustering, K-means clustering algorithm can be used such as the classic. mat file
pm848
- 基于matlab GUI界面设计,基于K均值的PSO聚类算法,保证准确无误，是学习通信的好帮手。- Based on matlab GUI interface design, K-means clustering algorithm based on the PSO, Ensure accurate communication is learning a good helper.
gkrhg
- Relief计算分类权重，基于K均值的PSO聚类算法,用MATLAB实现的压缩传感。- Relief computing classification weight, K-means clustering algorithm based on the PSO, Using MATLAB compressed sensing.
yb336
- 混沌的判断指标Lyapunov指数计算,基于K均值的PSO聚类算法,通过matlab代码。- Chaos indicator for Lyapunov index calculation, K-means clustering algorithm based on the PSO, By matlab code.
agrqt
- 基于K均值的PSO聚类算法,Matlab实现界面友好，基于SVPWM的三电平逆变的matlab仿真。- K-means clustering algorithm based on the PSO, Matlab to achieve user-friendly, Based on SVPWM three-level inverter matlab simulation.