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k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

二维经验模式分解代码，十分实用，希望对有需要的朋友有用(Two-dimensional empirical mode decomposition code, are very useful, want to be useful to have a friend in need)

用于实现DS-CDMA通信系统仿真的程序 编码transmitter,receriver模块，并对传输信道增加高斯白噪干扰 是通信理论扩频技术的应用实例(Used to implement DS-CDMA communication system simulation program code transmitter, receriver module, and increase the transmission channel is a Gaussian white noise interference spread spectrum communication theory application example)

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EM algorithm mean shift algorithm for image segmentation, at the same time have demo program with the ultimate view of segmentation results

电力电子系统仿真,包含了电力电子技术这本书里的十个实验(power matlab )

基于simulink的APF仿真，纯理论仿真，用电池来代替电容，方便学习。(Based on the APF simulink simulation, purely theoretical simulation, using capacitors instead of batteries, easy to learn.)

高斯光束在F-P干涉仪中的传输模拟(Simulates Gaussian beam propagation through a Fabry-Perot interferometer with adjustable error angles.)

基于matlab的RLS算法的自适应滤波器(RLS algorithm of adaptive filter based on matlab)

一个介绍如何使用matlab的文献，还详细说明了原理(A paper about the matlab filter and it introduction how to use it.)