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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.)
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- 积分：1
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220057140143
信号与系统 相关分析与卷积运算的试验报告上课写的(Signal related to the system analysis and convolution computing class written test report)
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fuliyechange
利用matlab对声音信号进行傅里叶变换，得到信号的频率图，进而对信号的特征进行分析。(Use of matlab Fourier transform of the sound signals, to get the signal frequency plot, and then analyze the characteristics of the signal.)
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MATLAB简单程序大全
说明： 求解MATLAB中关于特征值特征向量、卫星运行问题、动态玫瑰线、二重积分、函数画图问题的分析程序。(Analytical program for solving eigenvalue eigenvector, satellite operation problem, dynamic rose line, double integral and function drawing problem in MATLAB.)
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P_PER
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200742423462035902
This I develops based on the B/S structure student managementsystem management system, hoped brings a help to the novice(develops based on the B/S structur e student management system managementsystem , hoped brings a help to the novice)
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- 积分：1
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ant-colony-optimization-with-genetic-algorithm-ma
ant colony optimization with genetic algorithm matlab code
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eg9-shuzishibie
《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybody!
)
- 2013-09-20 16:05:15下载
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iuisx
可直接计算得到多重分形谱,本程序的性能已经达到较高水平，关于小波的matlab复合分析。( It can be directly calculated multi-fractal spectrum, The performance of the program has reached a high level, Matlab wavelet analysis on complex.)
- 2017-05-16 22:59:51下载
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exa010101
说明三个分段相连的信号的傅里叶变换和时频分析信号的傅里叶变换和时频分析(Note the three sub-linked signal Fourier transform and time-frequency analysis of signals in Fourier Transform and Time-Frequency Analysis)
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