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K-meanCluster
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-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 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-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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simulink_minglingji
这里面包含了几乎全部的SIMULINK在通信仿真中所要用到的命令(That which contains almost all of the SIMULINK simulation in communications to use in order)
- 2009-03-25 14:02:07下载
- 积分：1
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17days_all
本资料为杨鹏老师所编，内涵了gre词汇的背诵方法，以及以前版本所没有的易混单词，实为难得的好材料(the book mainly describes an effective way to recite GRE words.)
- 2010-03-09 17:18:24下载
- 积分：1
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Euclidean_Alg
Implementation of the extended Euclidean algorithm for polynomials over GF(2^m
- 2011-05-13 02:18:22下载
- 积分：1
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分岔图的总结
说明： 混沌动力学行为研究的程序说明，功率谱，最大李雅谱指数，三维、二维以及时间序列图(Program description of chaotic dynamics behavior study, power spectrum, maximum lyapunov index, three - dimensional, two - dimensional and time series diagrams)
- 2020-10-08 16:57:36下载
- 积分：1
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workkalmanfilter5
说明： 这些程序都是经过本人和许许多多工作过学习过的老师同学，以及一些志同道合的哥么们长期使用验证确实好使的(these procedures are numerous and I worked and studied the teachers and fellow students, and some like-minded Columbia Mody have long-term use of the test so that really)
- 2006-04-06 18:24:17下载
- 积分：1
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MMMatlabega
基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍. 已通过测试。
(Binary and floating-point encoding genetic algorithm based on Ma tlab language toolbox support, and provides a variety of options, cross-variation method. Through concrete examples of the Ma tlab genetic algorithm toolbox usage instructions describe. Has passed the test.)
- 2012-09-30 12:50:30下载
- 积分：1
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OFDM
新型调制技术 OFDM matlab 代码(The new modulation technique OFDM matlab code)
- 2014-02-22 16:09:57下载
- 积分：1
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SELF
半监督LFDA算法，内附demo例程,程序源自一片关于SELF的文献，希望大家研究探讨(Semi-supervised LFDA algorithm, containing demo routines, procedures derived from a literature about SELF, I hope you study investigated)
- 2014-05-29 15:24:18下载
- 积分：1
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FDTD
本程序为三维FDTD方法在Matlab中的实现。(This procedure for the three-dimensional FDTD method in the realization of Matlab.)
- 2007-07-29 21:19:45下载
- 积分：1
