Description: This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.-This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Platform: |
Size: 270336 |
Author:赵丁香 |
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Description: 压缩文件中是Error Correction Coding - Mathematical Methods and Algorithms(Wiley 2005)作者:(Todd K. Moon
)的配套代码,是由C和matlab两种语言编写的-compressed files is Error Correction Coding- Mathemat da Methods and Algorithms (Wiley, 2005) Author : (Todd K. Moon) matching code from C and Matlab prepared in two languages Platform: |
Size: 11518976 |
Author:龙昊 |
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Description: This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 15360 |
Author:aaaaaaa |
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Description: 这个软件包(C++)是我寻找电磁学代码无意中找到了，功能相当强大（并行计算，快速多极子等）。缺点是安装相当麻烦，需要若干个其他软件包。我在Fedora Core9下编译其中所需blitz++时出错，在 ubuntu下可以所有均编译通过，运行时出现一个错误，我找不到原因（本人水平有限），但从学习电磁学有关算法／程序设计来说，已经是相当了不起的开源软件了。parallel unified multipole algorithm for Electromagnetics (Puma-EM).
Aim is providing surface Method of Moments for Electromagnetics, enhanced
by using the Multilevel Fast Multipole Method. Code is parallelized and runs on
Desktops and clusters.-The package (C++) Is what I look for electromagnetics code inadvertently found, quite powerful (parallel computing, fast multipole, etc.). The disadvantage is that installation can be tricky, would require a number of other packages. I compiled under Fedora Core9 which required blitz++ Error in ubuntu can compile all are passed, there is a runtime error, I can not find the reasons (my limited), but to learn the relevant algorithms Electromagnetics/program design, is already quite a remarkable open-source software. parallel unified multipole algorithm for Electromagnetics (Puma-EM). Aim is providing surface Method of Moments for Electromagnetics, enhanced by using the Multilevel Fast Multipole Method. Code is parallelized and runs on Desktops and clusters. Platform: |
Size: 427008 |
Author:hopeshot |
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Description: 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running. Platform: |
Size: 6144 |
Author:yang |
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Description: em算法的学习资料，各种格式，包含c和matlab源代码，希望有所帮助-em algorithm learning materials, a variety of formats, including c and matlab source code, hope that helps Platform: |
Size: 3632128 |
Author:nebula |
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Description: This the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two-This is the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two Platform: |
Size: 692224 |
Author:jeevithajaikumar |
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Search - em algorithm c code