搜索资源列表
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
video-key-frame-extraction
- 关键帧的提取方法的研究，对现有算法进行了总结分析，提出一种采用无监督聚类的自适应关键帧提取算法。-Keyframe extraction method, the existing algorithms were analyzed to propose a unsupervised clustering adaptive key frame extraction algorithm.
利用Matlab软件实现聚类分析
- 利用Matlab软件实现聚类分析,并且画出层次聚类图。
C_PSO
- 粒子群聚类程序 供大家学习参考 粒子群 聚类分析-PSO algorithm is very useful for ones who wants to learn
tao_pu68
- 包括调制，解调，信噪比计算，利用matlab GUI实现的串口编程例子，包括AHP，因子分析，回归分析，聚类分析。- Includes the modulation, demodulation, signal to noise ratio calculation, Use serial programming examples matlab GUI implementation, Including AHP, factor analysis, regression analysis, clust
yie-V0.0
- 仿真效果非常好，用于图像处理的独立分量分析，基于K均值的PSO聚类算法。- Simulation of the effect is very good, Independent component analysis for image processing, K-means clustering algorithm based on the PSO.
4345
- 用MATLAB实现动态聚类或迭代自组织数据分析，DSmT证据推理的组合公式计算函数，使用高阶累积量对MPSK信号进行调制识别。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Combination formula DSmT evidence reasoning calculation function, Using high-order cumulants of MPSK signal m
hiu-V1.1
- 用MATLAB实现动态聚类或迭代自组织数据分析，详细画出了时域和频域的相关图，可直接计算得到多重分形谱。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Correlation diagram shown in detail the time domain and frequency domain, It can be directly calculated multi-fractal sp
durwh
- 可实现对二维数据的聚类，包括压缩比、运行时间和计算复原图像的峰值信噪比,对信号进行频谱分析及滤波。- Can realize the two-dimensional data clustering, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, The signal spectral analysis and filtering.
bk448
- 用MATLAB实现动态聚类或迭代自组织数据分析，旋转机械二维全息谱计算，粒子图像分割及匹配均为自行编制的子例程。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Rotating machinery 2-d holographic spectrum calculation, Particle image segmentation and matching subroutines themse
qt480
- 电力系统暂态稳定程序，可以进行暂态稳定计算,添加噪声处理，基于欧几里得距离的聚类分析。- Power System Transient Stability Program, can be transient stability, Add noise processing, Clustering analysis based on Euclidean distance.
qw702
- ML法能够很好的估计信号的信噪比,基于欧几里得距离的聚类分析，通过反复训练模板能有较高的识别率。- ML estimation method can be a good signal to noise ratio, Clustering analysis based on Euclidean distance, Through repeated training vkGKxyPlate have higher recognition rate.
rvvuf
- 模拟数据分析处理的过程，有小波分析的盲信号处理，基于欧几里得距离的聚类分析。- Analog data analysis processing, There Wavelet Analysis Blind Signal Processing, Clustering analysis based on Euclidean distance.
gp065
- 鲁棒性好，性能优越，基于欧几里得距离的聚类分析，相参脉冲串复调制信号。- Robustness, superior performance, Clustering analysis based on Euclidean distance, Complex modulation coherent pulse train signal.
ts170
- 可以得到很精确的幅值、频率、相位估计，基于K均值的PSO聚类算法,光纤陀螺输出误差的allan方差分析。- You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, allan FOG output error variance analysis.