搜索资源列表
PCA+LDAVC
- 结合PCA+LDA的图像识别算法VC封装类,可以运行,效果还可以-combination of image recognition algorithm VC Packaging categories, can run, the effect could also
MyLDA
- 中文信息处理，基于lda算法实现的，有一定参考价值-chinese information possess ,build on lda
PCA
- matlab，用来进行PCA算法和LDA算法的表述-Used to solve the PCA algorithm and LDA algorithm
plot-cars-lda-mcs
- 五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示-Five groups
LDA-topic-model
- 首先声明，这是别人写的LDA主题模型代码，本人测试过，可以运行，但是输出跟输出有点不尽人意，输入的是词的序号和该词在文档中出现的次数，要是可以直接读取文档就完美了。输出是主题以及词在该主题出现的概率，其中得到的主题我就看不懂了，不知道是算法问题，还是因为我的水平有限。在研究LDA主题模型的朋友，可以下载试一下-First statement, which is written by someone else LDA topic model code, I tested, you can run,
erlang-master
- 这个代码是关于matlab图像特征处理LDA算法的代码-This code is on the matlab image processing features LDA algorithm code
LDA
- LDA是监督式的降维算法，输入时需要为每一个数据打上标签信息。最多可以降到n-1维（n为数据点个数）-LDA Algorithm is used to realize dimensionality reduction. It can be used in the amount of projects such as face recognition.
LDA_ar
- 一种比较简单的LDA算法，对于模式识别人脸识别有帮助。-LDA is a relatively simple algorithm for pattern recognition Face helpful.
K-LDA
- KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
PLDA
- PLDA是一种信道补偿算法，号称概率形式的LDA算法。整理了PLDA和LDA的原理公式，包含了一个PLDA模型数据。-PLDA is a channel compensation algorithm, known as the form of probability LDA algorithm. The principle formulas of PLDA and LDA are included, and a PLDA model data is included.
FisherFace_New
- PCA和LDA算法的融合，适用于人脸识别中-Fusion of PCA and LDA Algorithm for Face Recognition
LDA_11_16
- 自己经过修改的LDA算法源程序，证明可用-Own modified LDA algorithm source code, proven available
mhaghighat-gda-87032da
- GDA是LDA算法的核变换版本，简称广义线性判别，能将高维数据投影到低维空间-GDA is the nuclear transformation version of LDA algorithm, referred to as generalized linear discriminant, can be high-dimensional data projection to low-dimensional space
LDA-matlab
- LDA智能算法，实现模式识别和聚类，例子是三维数据-LDA intelligent algorithm, to achieve pattern recognition and clustering, the example is three-dimensional data
FisherFace_New
- LDA算法 将带上标签的数据（点），通过投影的方法，投影到维度更低的空间中，使得投影后的点，会形成按类别区分，一簇一簇的情况，相同类别的点，将会在投影后的空间中更接近。(Linear Discriminant Analysis)
drtoolbox
- 包含多种常用维数优化算法及应用，PCA , ICA, LDA，LFA LPP，KPCA 等等。(There are many Dimensionality Reduction methods including PCA , ICA, KICA and so on.)
基于pca+lda+粗糙集+模糊神经网络的人脸识别
- 各种算法用于人脸识别，各个算法的识别率都不错，有lda,pca等算法(Various algorithms are used for face recognition, and the recognition rate of each algorithm is good. There are algorithms such as LDA, PCA and so on)
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
chinese_text_cluster-master
- 基于中文文本的机器学习聚类算法的实现，包括LDA算法等(Chinese Text Clustering)
机器学习算法各种代码
- 机器学习算法各种代码，包含svm，pca，lda，决策树等源码