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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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Thresholding
关于统计学习正则化的阈值算法，对现有的最小二乘问题进行扩展。(On statistical learning is the threshold algorithm is based on the expansion of the existing least squares problems.)
- 2010-07-30 15:55:31下载
- 积分：1
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MATLAB_Comm
MATLAB通信仿真及应用实例详解(MATLAB_Comm.ceb)(Communication and application of MATLAB simulation examples explain (MATLAB_Comm.ceb))
- 2008-04-18 10:39:38下载
- 积分：1
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Equality_and_Inequality
This is IP optimization method examples with constraints
- 2009-12-24 21:29:48下载
- 积分：1
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TM
说明： 关于大地电磁法二维正演模拟，垂直断层TM模式(About the magnetotelluric method two-dimensional forward modeling, the TM mode of the vertical fault)
- 2013-03-10 16:06:20下载
- 积分：1
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PSO_AI
免疫粒子群算法的matlab源代码，自己设置优化函数(Immune particle swarm algorithm matlab source code, set up their own optimization function)
- 2021-04-11 10:38:58下载
- 积分：1
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m_sequence
基于MATLAB的m序列的产生及相关特性仿真(Based on the MATLAB m sequences and related characteristic simulation
)
- 2012-05-07 19:31:23下载
- 积分：1
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chapter2-vectorization
UFLDL deep learning (UFLDL deep learning)
- 2013-10-29 20:57:08下载
- 积分：1
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ofdm_qpsk_awgn
ofdm系统qpsk调制、awgn信道下的仿真，对于ofdm信号有全面的认知(qpsk modulation ofdm systems, simulation awgn channel under the ofdm signal for a comprehensive awareness)
- 2015-04-02 21:26:36下载
- 积分：1
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GPLAB
遗传规划matlab工具箱，可以大大提高编程的效率(Matlab genetic programming toolbox, you can greatly improve the efficiency of programming)
- 2007-07-17 15:59:44下载
- 积分：1
