搜索资源列表
pca+lda
- 模式识别PCA+LDA的C++源代码，用于图像的主分量分析-pattern recognition PCA LDA C source code for the image of Principal Component Analysis
LDA.rar
- LDA的c语言实现，LDA是一个针对文档的分层概率模型。,This is a C implementation of latent Dirichlet allocation (LDA), a model of discrete data . LDA is a hierarchical probabilistic model of documents.
stprtool15aug08
- 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09，在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法，比如SVM，PCA，LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类，效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
lda-c-dist
- latent dirichlet allocation C语言实现算法 LINUX 下运行-latent dirichlet allocation the c implementation
PRproject_lda
- 线性判别分析（LDA，全称Fisher Linear Discriminant Analysis）算法的C#实现源码，根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算，使用zedgraph控制绘图。有简单的测试数据。- C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algo
ldaclasic
- lda经典算法，c++编写，适合机器学习初学者使用-lda classical algorithm, c++ is written for beginners to use machine learning
lda-c-dist
- 在linux下的LDA算法， 用于数据挖掘，可直接编译运行。-In linux the LDA algorithm for data mining, can be directly run the compiler.
lda-c-dist
- lda贝叶斯文本分类器，c语言实现 linux运行环境-lda Bayesian text classifier, c language runtime environment linux
Bei
- ╭︿︿︿╮ {/ ·· /} ( (00) ) ︶︶︶ 主题模型，LDA，Blei，经典主题模型，C-Topic Model, LDA Blei, Classic Topic Model, C++
lda-c-dist
- Blei的LDA代码,隐式狄利克雷分配,实现了文档中主题的提取-LDA implementation, machine learning
lda-c-dist
- lda的c语言实现代码，lda发明者编写，运行速度比较快-lda c language code, lda inventor of writing, running faster
lda
- lda的C++朴素实现，gibbs采样，学习lda必备-lda simple realization of C++, gibbs sampling, learning essential lda
M3LDA
- 多模多实例多类标LDA的代码。参考文献：C.-T. Nguyen, D.-C. Zhan, and Z.-H. Zhou. Multi-modal image annotation with multi-instance multi-label LDA. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 13), Beijing, China, 2013.
lda-0.2-matlab.tar
- lda的matlab实现，lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface). This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textua
lda-c-dist
- lda模型的gibbs算法 很好很强大-lda gibbs sampling
testcc
- LDA亲测可执行C代码 自己新建一个工程，然后把对应的文件拷到工程文件夹下，添加头文件和源文件，进入到lda.cc按F5即可运行-LDA pro-test their new executable C code for a project, then the corresponding file copying project folder, add header and source files, go to press F5 to run lda.cc
statistics_kmeans
- K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replica