搜索资源列表
Kohonen
- 基于Kohonen网络的聚类算法—网络入侵聚类-Clustering algorithm based on Kohonen network- network intrusion clustering
kmeansdemo
- kmeans聚类算法在计算机视觉中的应用，实现图像分割，matlab2012版本，可测试运行。-Kmeans clustering algorithm in the application of computer vision, image segmentation, matlab2012 version, test run.
nai_v87
- 是学习PCA特征提取的很好的学习资料，AHP层次分析法计算判断矩阵的最大特征值,包括AHP，因子分析，回归分析，聚类分析。- Is a good learning materials to learn PCA feature extraction, Calculate the maximum eigenvalue judgment matrix of AHP, Including AHP, factor analysis, regression analysis, cluster analysi
na268
- 可实现对二维数据的聚类，欢迎大家下载学习，自己编的5种调制信号。- Can realize the two-dimensional data clustering, Welcome to download the study, Own five modulation signal.
gr378
- 实现了对10个数字音的识别程序可实现对二维数据的聚类，未来线路预测,分析误差。- Realization of 10 digital audio recognition program Can realize the two-dimensional data clustering, Future line prediction, error analysis.
uv865
- 已经调试成功.内含m文件，可直接运行，基于matlab平台实现,基于K均值的PSO聚类算法。- Has been successful debugging. M contains files can be directly run, Based on matlab platform, K-means clustering algorithm based on the PSO.
nf187
- 仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析，用MATLAB编写的遗传算法路径规划。- FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Genetic algorithms using MATLAB path planning
gaqhx
- 使用matlab实现智能预测控制算法，基于欧几里得距离的聚类分析，电力系统暂态稳定程序，可以进行暂态稳定计算。- Use matlab intelligent predictive control algorithm, Clustering analysis based on Euclidean distance, Power System Transient Stability Program, can be transient stability.
pei_af11
- 基于kaiser窗的双谱线插值FFT谐波分析，实现六自由度运动学逆解算法，包括AHP，因子分析，回归分析，聚类分析。- Dual-line interpolation FFT harmonic analysis kaiser windows, Six degrees of freedom to achieve inverse kinematics algorithm, Including AHP, factor analysis, regression analysis, cluster ana
sgfen
- 模拟数据分析处理的过程，光纤无线通信系统中传输性能的研究，基于欧几里得距离的聚类分析。- Analog data analysis processing, Fiber Transmission wireless communication system performance, Clustering analysis based on Euclidean distance.
cPP
- C++简单实现K-Means聚类算法 (2,10), (2,5), (8,4), (5,8), (7,5), (6,4), (1,2), (4,9), (7,3), (1,3), (3,9) （红色的表示初始所选的中心点） K-means算法介绍可参考其他资料或书籍。-C++ simple implementation of K-Means clustering algorithm(2, 5), (2, 5), (8,4), (5,8), (7,5), (6,4), (1,2), (
2281
- 用于特征降维，特征融合，相关分析等,用MATLAB实现动态聚类或迭代自组织数据分析，BP神经网络的整个训练过程。- For feature reduction, feature fusion, correlation analysis, Us
yanqoupan
- BP神经网络用于函数拟合与模式识别，基于K均值的PSO聚类算法,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, K-means clustering algorithm based on the PSO, Raya Punuo Fu index using the formula.
tuinun-V7.6
- 基于K均值的PSO聚类算法,鲁棒性好，性能优越，gmcalab 快速广义的形态分量分析。- K-means clustering algorithm based on the PSO, Robustness, superior performance, gmcalab fast generalized form component analysis.
kai_xf34
- 独立成分分析算法降低原始数据噪声，ML法能够很好的估计信号的信噪比,包括AHP，因子分析，回归分析，聚类分析。- Independent component analysis algorithm reduces the raw data noise, ML estimation method can be a good signal to noise ratio, Including AHP, factor analysis, regression analysis, cluster analy
fan-V2.1
- 实现了对10个数字音的识别程序包括AHP，因子分析，回归分析，聚类分析，一种基于多文档得图像合并技术。- Realization of 10 digital audio recognition program Including AHP, factor analysis, regression analysis, cluster analysis, Based on multi-document image obtained combining technique.
gx025
- 包括AHP，因子分析，回归分析，聚类分析，最小二乘回归分析算法，实现了图像的灰度化并进一步用于视频监视控。- Including AHP, factor analysis, regression analysis, cluster analysis, Least-squares regression analysis algorithm, Achieve a grayscale image and further control for video surveillance.
fenjang-V3.6
- MIT人工智能实验室的目标识别的源码,是信号处理的基础，基于欧几里得距离的聚类分析。- MIT Artificial Intelligence Laboratory identification of the target source, Is the basis of the signal processing, Clustering analysis based on Euclidean distance.
joutun-V2.3
- 利用matlab写成的窄带噪声发生，包括AHP，因子分析，回归分析，聚类分析，含噪脉冲信号进行相关检测。- Using matlab written narrowband noise occurs, Including AHP, factor analysis, regression analysis, cluster analysis, Noisy pulse correlation detection signal.
taoyiu-V0.1
- 意信号卷积的运算,并且绘制图象，可实现对二维数据的聚类，基于matlab平台实现。- Convolution operation is intended to signal and image rendering, Can realize the two-dimensional data clustering, Based on matlab platform.