搜索资源列表
matlab
- 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
k-means
- k均值算法的ppt，里面包含了模糊c均值算法，有益于对该算法的理解，有较大的帮助-k-means algorithm ppt, which contains a fuzzy c-means algorithm, the benefits of this algorithm understanding, a great help
K-SVD
- K均值，K-SVD算法，字典学习，英文版算法的翻译-K-means, K-SVD algorithm, dictionary learning algorithm in English translation
zkmeans
- Cluster Scheme using K-means
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.
cedbk
- 基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
jkidf
- 关于神经网络控制，包含位置式PID算法、积分分离式PID，基于K均值的PSO聚类算法。- On neural network control, It contains positional PID algorithm, integral separate PID, K-means clustering algorithm based on the PSO.
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.
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.
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.
4364
- 复化三点Gauss-lengend公式求pi，实现了图像的加水印，去噪，加噪声等功能，基于K均值的PSO聚类算法。- Complex of three-point Gauss-lengend the Formula pi, Realize image watermarking, de-noising, plus noise and other functions, K-means clustering algorithm based on the PSO.
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.
K-Means
- 对500个随机二维坐标点进行聚类，然后通过C++程序输出窗口输出。(Cluster Algorithm.Put the 500 2d points into 20 clusters.)