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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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Sim_MADE
A NEW MATLAB APPLICATION OF FEILD ORIENTED CONTROL (FOC) PROCEDURE OF DOUBLE STATOR INDUCTION MACHINE.
- 2011-09-28 01:11:08下载
- 积分：1
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v3
说明： Suboptimum receiver noise and interference estimation for AWGN channel
- 2014-12-03 23:59:41下载
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matlab
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- 2011-01-07 02:16:38下载
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EM_matlab
用于计算最大期望估计，matlab调试通过。(Used to calculate the maximum expected estimation, debugging through.)
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SingleInvertedPendulum
:运用牛顿动力学方法对单级倒立摆系统进行了数学建模,并对基于经典控制理论的PID控制方
法、基于最优控制理论的LQR控制方法,以及基于模糊控制理论的模糊控制方法进行了仿真对比分析
研究,其分析结果对该方向的研究具有理论指导意义(: Application of Newton)
- 2007-08-27 10:47:22下载
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orlcreatedataset
it is a code for create orl data set for face recognition perpose
- 2010-07-23 22:37:09下载
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matlab_tutorial_and_application
matlab基础及其应用教程电子书，适合MATLAB的初学者使用！(matlab tutorial e-book and its application)
- 2010-11-10 09:13:37下载
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filter
说明： 自己做的基于Matlab/Simulink 的系统仿真技术与应用一书的配套实验(Make their own based on Matlab/Simulink for System Simulation Technology and Application of a book supporting the experimental)
- 2008-09-09 15:15:55下载
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powell-optimization
Powell s Optimization technique used for image processing.
- 2013-07-12 21:06:12下载
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