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模糊C-均值（FCM）聚类算法Matlab实现
- 模糊聚类是一种重要数据分析和建模的无监督方法。简单概述模糊聚类的概念，介绍模糊C-均值（FCM）算法，并在matlab软件上对该算法进行仿真，结果表明，该算法设计简单，应用范围广，但改算法仍存在容易陷入局部极值点等问题，还需进一步研究
用matlab实现K均值聚类算法
- 用matlab实现K均值算法
fuzzyC
- 遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
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.
fcm
- 模糊c均值聚类算法在matlab里的实现。-Fuzzy c means clustering algorithm in matlab in implementation.
matlab
- 基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
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.