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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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MATLABSimulationsforRadarSystemsDesign
CFAR matlab simulation
- 2010-08-04 00:25:50下载
- 积分：1
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LDLTandCholesky
A=(aij)20×20的LDLT分解与Cholesky分解(A = (aij) 20 × 20 in the LDLT decomposition and Cholesky decomposition)
- 2010-12-04 10:53:20下载
- 积分：1
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PIDControl
这是用matlab中的GUI界面做的PID控制器，对初学用GUI作控制的有一定帮助。(It is used matlab to do in the GUI interface, PID controller, for beginners to use GUI for control of certain assistance.)
- 2010-01-22 14:51:13下载
- 积分：1
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correlation
programme calculation correlation
- 2013-11-21 23:17:22下载
- 积分：1
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QPSK_Waveform
matlab for communication
- 2011-04-20 22:29:55下载
- 积分：1
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IJETT-V4I7P138_2
Power Factor Improvement of Induction Motor
by Using Capacitors
Power Factor Improvement of Induction Motor
by Using Capacitors
- 2014-10-08 13:53:20下载
- 积分：1
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mpso_bsplinea
malab语言实现bspline曲线拟合，采用改改进的pso算法实现 ，经测试可直接使用。
(malab the language bspline curve fit, change improved pso algorithm has been tested and can be used directly.)
- 2012-09-15 14:12:20下载
- 积分：1
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code
Description:
Matlab examples for a seminar in stochastic simulation:
http://www.math.uu.se/~ikaj/courses/matlab/
###############
Installation:
After decompressing, run stsimpath.m in the main directory.
Alternatively, you may add to your startup.m:
addpath( path_to_stsimbm , ...
path_to_stsimcounting , ...
path_to_stsim
anvar , ...
path_to_stsim
tree, ...
path_to_stsimservice , ...
path_to_stsimstproc , ...
path_to_stsim eletraffic , ...
path_to_stsimwaxman )
Any suggestions or comments are welcome.
- 2015-07-04 02:59:08下载
- 积分：1
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AComP_5_1
说明： 高等通信原理16_QAM symbol sequence of 2000 symbols and plot the constellation(Advanced Communication Theory 16_QAM symbol sequence of 2,000 symbols and plot the constellation)
- 2006-04-10 21:21:54下载
- 积分：1
