搜索资源列表
text-est
- 这是一篇综述文章，介绍文本分析的参数估计问题，主要是贝叶斯模型包括PLSA，LDA等-This technical note is intended to review the foundations of Bayesian parameter estimation in the discrete domain, which is necessary to understand the inner workings of topic-based text analysis approache
LDA_CODE
- LDA方法是一种对数据进行线性分解的降维方法-LDA method is a kind of linear decomposition of data dimension reduction method
code
- GMM，LDA,PCA,GMM，LDA,PCA -the code of GMM，LDA,PCA
myLDA
- 让初学者可以更加容易了解LDA算法的基本运行过程-For beginners can more easily understand the basic operation process of LDA algorithm
JGibbLDA-v.1.0
- 用Java实现的LDA算法（潜在dirchlet语义分析），能够运行成功。-latent dirchlet allocation
project1_code
- 这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。-This source code includes the implementation of three f
LDA.m
- 线性判别分析函数，可直接调用，内含函数详细说明-Linear discriminant analysis functions can be called directly, containing a detailed descr iption of the function
code
- 基于改进LDA和CNN的网络入侵聚类,该文件为matlab版本的原代码-Based on the improved LDA and CNN network intrusion clustering
onlineldavb
- python写的online lda,LDA算法的实时实现，根据lda已经计算出来的主题，强化后面没计算出来的主题-Online lda,LDA algorithm for real-time implementation of Python written, based on the theme of the LDA has been computed, theme of strengthening the back does not come out
KL_LDA
- 本程序是一个数据预处理的程序，首先通过KL变换将数据进行一次降维，然后通过LDA对数据进一步降维-This program is a data preprocessing procedure, first by a KL transform data dimensionality reduction, then the data further by LDA dimensionality reduction
lda-0.2-matlab
- matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。-matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, i
FishersLDA
- Fishers LDA classification
MyFishersLDA
- Fishers LDA classification function
LDA_Linear-Discriminant-Analysis
- 将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used in statistics, pattern recognit
123123lda
- this a lda matlab source code. for face detection. usel source code-this is a lda matlab source code. for face detection. usel source code
dokuman
- this a matlab source code for the face detection with pca and lda method-this is a matlab source code for the face detection with pca and lda method
dimension-reduction
- pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
LDAaaPCA
- PCA,LDA 的文档描述，以及KPCA,LDA 的matlab 代码-PCA，LDA, kPCA
LDA
- machine learning features
UMLDACodes1.0
- 不相关LDA算法，可以用来进行人脸识别，文件中包括相关论文、代码、工具箱，很实用-Irrelevant LDA algorithm, can be used for face recognition, document include the relevant papers, code, toolbox, very practical