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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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compare
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suanfa
用LMS和RLS算法进行谱估计，求取均方误差(LMS and RLS algorithm spectral estimation strike mean square error)
- 2012-09-07 10:45:34下载
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st
说明： C语言源代码，用于计算S变换，进行时频分析(S transform C language source code)
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fenbushuju
此文件为模拟zernike波面拟合图像与原始波面图形的误差的图像。通过模拟真实环境的随机误差，得到误差函数的波面(This file is simulated zernike Wavefront fitting the image with the original wave-front error of graphic images. By simulating the real environment, random error, the wavefront error function to be)
- 2009-12-02 14:09:13下载
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Perceptron
说明： matlab语言编写的iris数据的单层感知器分类(matlab data written in a single layer perceptron iris classification)
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P8
说明： This code simulates one dimensional resonance by FDTD
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Diffic-Hellman
This is a program that calculate the criptosystem Diffic Hellman
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SINS
指北方位捷联惯导解算。。。尽管下吧，写作业的时候会用到(SINS navigation code)
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MMSE-DFE
MINIMUM MEAN SQUARE ERROR-DECISION FEEDBACK EQUALIZER IN MIMO SYSTEM
- 2010-06-23 09:46:16下载
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