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压缩解压 This is not a very mean things

This is not a very mean things
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压缩解压 This is not a very mean things

This is not a very mean things
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并行计算 How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S

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 ...
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其他 简要介绍mean-shift算法的原理

简要介绍mean-shift算法的原理,并且在图像处理方面的应用
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人工智能/神经网络 一个聚类算法用K-mean处理后迭代

一个聚类算法用K-mean处理后迭代,论文发表在PAK
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matlab例程 This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的

This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》
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matlab例程 This program simulates plant identification using frequency block least mean square (FBLMS) alogrith

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
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matlab例程 Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random n

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 ...
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文章/文档 Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification

Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification
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matlab例程 mean shift

mean shift
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