搜索资源列表
geap
- 数值分析里面的高斯消元法利用全主元消去的程序-Numerical analysis method which use the Gaussian elimination procedure all main element elimination
gepp
- 数值分析中的高斯消元法利用列主元进行消元程序-Numerical analysis using the Gaussian elimination method carried out principal component elimination process
Pcation
- 主元分析的可拓诊断模型及其应用PCA Extension Diagnostic Model and Its Application-PCA Extension Diagnostic Model and Its Application
fastICA
- 快速ICA算法的matlab程序编写，提供完整的快速独立主元分析方法。-Fast ICA algorithm matlab programming, provide a complete fast independent component analysis method.
matlabpca
- 基于PCA的故障检测 采用主元分析法 可以对其进行故障检测 生成ABC图-Based on PCA fault detection using principal component analysis method can generate the fault detection ABC figure
pca
- PCA一种基于MATLAB软件的利用主元分析算法-PCA principal component analysis algorithm
PCA
- 线性主元分析，用于数据降维及压缩，分析数据组成成分-principal component analysis
APtutorial-for-PCA
- 线性主元分析教程，结构清晰，讲解易懂，容易上手的入门资料-a tutorial for PCA
PCA
- 主元分析方法，主要用于提取主元，数据降维-Principal components analysis
PCAPX
- 主元分析法实现故障诊断的算法的实现代码。可以实现对工业过程的故障诊断。-Principal component analysis for fault diagnosis algorithm implementation code. Can be achieved for fault diagnosis of industrial processes.
new-pca
- 这是个改进的PCA主元分析程序 可以实现数据降维和压缩-This is a PCA improved principal component analysis program can reduce the dimensionality of data compression
PCA
- 主元分析中对主元的个数确定目前没有非常好的办法,这里提供一个比较方便实现的matlab程序,利用累计方差贡献率确定主元个数的matlab程序-Principal component analysis of main elements to determine there is no good way, here to provide a more convenient realization of the matlab program, using the cumulative variance
KPCA11
- 自己尝试编写的核主元分析（KPCA）程序-Try to write a kernel principal component analysis ( KPCA ) program
PCA
- C++语言写的PCA降维算法，里面有两个主元分析C++代码-PCA language C++ dimensionality reduction algorithm, there are two principal component analysis C++ code
zhuyuanfenxi123
- 利用主元分析的方法提取车牌字符的有效特征，为下一步输入神经网络识别做准备。-Using principal component analysis method to extract effective features of the license plate to prepare for the next input of the neural network recognition.
ge0201
- 用matlab实现主元分析的故障诊断，在我的硕士论文中具有分析性-Using matlab to achieve the principal component analysis, fault diagnosis, and analytical in my Master' s thesis
KPCA
- 核主元分析模型，用于故障检测，输入建模数据和待检测数据，计算T2和SPE统计量-Kernel Principal Component Analysis model for fault detection, input data for modeling and data to be detected, calculated T2 and SPE statistics
Lecture17
- 用PCA在一组数维中找到主十得到主元分析，用于MACHINE LEARNING 中初步学习者-use pca find the principle component int the dataset
zhuyuanfenxigaoduan
- 用matlab实现的主元分析算法，很实用的程序，经调试通过-Matlab principal component analysis algorithm, very practical program, the debugging through
PCA
- 详细介绍主元分析的步骤、用matlab具体的实现方式-Details the steps of the principal component analysis using matlab specific way to achieve