搜索资源列表
pca
- princa，用于pca主成分降维：计算第k主成份贡献率-累计贡献率-取累计贡献率大于等于90%的主成分(For PCA principal component dimensionality reduction: calculate the principal component contribution rate of K - the cumulative contribution rate - take the cumulative contribution rate greater tha
pca降维
- pca数据降维算法，很好的解决数据灾难的问题。(PCA data dimensionality reduction algorithm, a good solution to the problem of data disaster.)
pca计算
- 基 于 matlab 的pca程序，挺不错的(PCA matlab program, pretty good)
PCA
- PCA LDA实现，根据累积贡献率确定主成分个数(PCA LDA MATLAB The number of principal components is determined according to the cumulative contribution rate)
pca
- pca是主成分分析，提取特征，对数据进行降维处理(PCA is principal component analysis, which extracts features and processes the data in reduced dimension)
PCA
- PCA主成分分析算法matlab源码，利用matlab实现PCA算法。(PCA principal component analysis algorithm matlab source code, using MATLAB to achieve PCA algorithm.)
PCA
- 主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。(Principal Component Analysis (PCA) is a statistical method. Convert a set of variables that may be relevant by orthogonal transform into a set of linearly
PCA
- PCA算法的matlab实现及算例，包含原始数据(matlab code of PCA in machine learning)
pca
- matlab 进行pCA主成分分析分析分析分析分析分析(use matlab to do pca analysis)
PCA定时
- 采用stc系列的pca模块模拟定时器，pca用来当做定时器定时1S。(The STC module is used to simulate the timer, and the PCA is used as the timer and timing 1S. Pca.)
PCA
- PCA在故障诊断中的应用，故障诊断所需要的数据，运行可得到他的T2和SPE(The application of PCA in fault diagnosis and the data needed for fault diagnosis)
pca
- PCA原理源代码,MATLAB程序仿真实验(the simulation experiment of PCA,MATLAB)
gabor-pca
- 用gabor结合pca降维实现人脸识别，能得到较好的识别率(face recognition through gabor-pca)
PCA
- PCA主成分分析，提取主特征，降维处理(PCA principal component analysis is used to extract the main features and reduce the dimensionality)
PCA
- 简单的数据降维算法（PCA）举例，构造随机的10维数据，降维成3维的。Sample可替换成用户数据(Examples of simple data reduction algorithms (PCA) are presented)
PCA
- Python实现PCA将数据转化成前K个主成分的伪码大致如下: ''' 减去平均数计算协方差矩阵计算协方差矩阵的特征值和特征向量将特征值从大到小排序保留最大的K个特征(Python PCA data into pseudo code before the K principal components are as follows: the characteristics of 'average minus the covariance matrix to calculate the covari
Nonlinear PCA toolbox for MATLAB
- 压缩文件夹中主要包含用于非线性主成分分析的程序(Nonlinear PCA toolbox for MATLAB)
PCA-ICA
- 实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
gpldecha-e-pca-d542a9b
- PCA是一种非线性降维方法特别适合于概率分布，得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.)
pca
- 实现一个简单的PCA降维与重构程序，用到的数据在.txt文件中。还有用于测试的.m文件(To achieve a simple PCA dimension reduction and reconstruction procedures)