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rnndf
- 使用高阶累积量对MPSK信号进行调制识别，可实现对二维数据的聚类，进行逐步线性回归。- Using high-order cumulants of MPSK signal modulation recognition, Can realize the two-dimensional data clustering, Stepwise linear regression.
ynmnk
- 采用了小波去噪的思想，可实现对二维数据的聚类，对于初学matlab的同学会有帮助。- Using wavelet denoising thought, Can realize the two-dimensional data clustering, Matlab for beginner students will help.
xs436
- 可实现对二维数据的聚类，代码里有很完整的注释和解释，有井曲线作为输入可计算其地震波的衰减。- Can realize the two-dimensional data clustering, Code, there are very complete notes and explanations There is a well attenuation curve as input to calculate its seismic waves.
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.
tun_xt16
- 可实现对二维数据的聚类，LCMV优化设计阵列处理信号，关于非线性离散系统辨识。- Can realize the two-dimensional data clustering, LCMV optimization design array signal processing, Nonlinear discrete system identification.
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
yaogeiqie
- 人脸识别中的光照处理方法，可实现对二维数据的聚类，esprit算法对有干扰的信号频率进行估计。- Face Recognition light treatment method, Can realize the two-dimensional data clustering, esprit algorithm signal frequency interference can be assesse.
lou_v61
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，代码里有很完整的注释和解释，可实现对二维数据的聚类。- Implemented with SDRAM run nios, while saving camera data SRAM, Code, there are very complete notes and explanations Can realize the two-dimensional data clustering.
hannen_v40
- 用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，现代信号处理中谱估计在matlab中的使用。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the two-dimensional data clustering, Modern signal processing used in the spectral estimation in matla
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.)
FaceNet-A-Unified-Embedding-for-Face-Recognition-and-Clustering
- FaceNet---深度学习与人脸识别的二次结合 Facenet是一个通用的系统，采用CNN神经网络将人脸图像映射到128维的欧几里得空间，我们可以根据两幅人像的欧几里得距离去判断两个人像的相似程度。两个人像之间的欧几里得距离越近，说明它们越相似。 FaceNet可以用于人脸验证（是否是同一人？），识别（这个人是谁？）和聚类（寻找类似的人？）。FaceNet采用的方法是通过卷积神经网络学习将图像映射到欧几里得空间。空间距离直接和图片相似度相关：同一个人的不同图像在空间距离很小，不同人的图像在