搜索资源列表
PCA_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
LDA
- 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
SubspaceLearningCodes
- 子空间学习的代码，主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code
HumanFaceLDA(Matlab)
- 线性判别方法，人脸数据库上的LDA程序，基于Matlab，供学习使用-Linear discriminant method, human face database of LDA procedures, based on Matlab, for learning to use
lda
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
pca2D
- 2DPCA用于人脸、步态等图像识别，可先按照行列比例将不规整图像归一化处理，然后进行训练，并且识别，全部中文注释和提示，便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition
MLcode
- Machine Learning Java Eclipse code which goes along with Stephen Marsland s book Machine Learning
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
- LDA的学习资料的合计！有MATLAB的实现例子！-Total LDA learning information! MATLAB examples of realization!
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-study
- LDA学习用到的算法，不是自己写，别人的，拿来学习用-LDA learning algorithm is used, not her own writing, others, used to learn
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
lda
- 是LDA的matlab例程，对初学者学习lda算法有帮助，能直接运行。-Is LDA matlab routines for beginners learning algorithms help lda can be run directly.
LDA
- 线性判别式分析(Linear Discriminant Analysis, LDA)，也叫做Fisher 线性判别(Fisher Linear Discriminant ,FLD)，是模式识别的经典算法,新手学习的良好素材-Linear discriminant analysis (Linear Discriminant Analysis, LDA), also known as Fisher linear discriminant (Fisher Linear Discriminant, FL
lda-c
- LDA是一种文档主题生成模型，也称为一个三层贝叶斯概率模型，包含词、主题和文档三层结构。文档到主题服从Dirichlet分布，主题到词服从多项式分布。 LDA是一种非监督机器学习技术，可以用来识别大规模文档集（document collection）或语料库（corpus）中潜藏的主题信息。它采用了词袋（bag of words）的方法，这种方法将每一篇文档视为一个词频向量，从而将文本信息转化为了易于建模的数字信息。但是词袋方法没有考虑词与词之间的顺序，这简化了问题的复杂性，同时也为
lda-Chinese
- 用于中文文本的lda主题模型的代码，供学习主题模型的参考-A Chinese LDA topic model code for learning topic model reference
high-quality-PCA-LDA-code
- 质量很高的一个PCA-LDA特征降维代码，附一个LDA简单学习实例。-A high-quality PCA-LDA feature reduction code attached a simple learning example of LDA.
LDA
- machine learning features
LDA
- Recent Advances in Bayesian Machine Learning
LDA漫游
- LDA的一篇介绍。 LDA的全称是Linear Discriminant Analysis（线性判别分析），是一种supervised learning。LDA是在目前机器学习、数据挖掘领域经典且热门的一个算法(An introduction to LDA. LDA's full name is Linear Discriminant Analysis (Linear Discriminant Analysis), is a supervised learning. LDA is a clas