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How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-e ...

ARM7 LED shift register (ST2221) in C programming

一个聚类算法用K-mean处理后迭代，论文发表在PAK

This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》

This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document

Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelatio ...

Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification

k-mean算法演示，利用手工输入点通过k类自动聚合

c-mean聚类算法源代码，通过对输入数据进行训练和分类类别设定，能够得到数据的聚类图。

k－mean算法的源码，对聚类非常有用！！可以直接使用！