搜索资源列表
pca
- 关于matlab主元分析的一个简单的实例，可供初学者参考学习。
PCA利用累计方差贡献率确定主元个数的matlab程序
- 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
20100528KFDA
- 完整的核主元分析法程序，包含训练识别功能，希望有所帮助。-Complete nuclear principal component analysis procedures, including training in recognition, hope that helps
Classification_toolbox
- 用于分类的一个工具箱，内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码，还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
PCA-method-for-fault-diagnosis-routine-five(includ
- 用于故障诊断的PCA方法例程5个(含KPCA)，利用PCA（主元分析）方法或者KPCA方法，进行工业系统的故障诊断程序，有详细的注释说明-PCA method for fault diagnosis routine five (including KPCA), using PCA (principal component analysis) method or KPCA method, industrial process fault diagnosis, a detailed explanat
ClusteringToolbox2
- 一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
pp
- 主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform.
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
KPCA_SVM_Train
- 核主元分析和支持向量机结合的故障诊断方法-KPCA and SVM fault diagnosis method combining
my_function_1
- ica 核独立主元分析（kernel independent component analysis)软件包-kica
KPCA
- 基于KPCA（核主元分析）发对TE模型进行故障诊断和辨识-Based on KPCA (KPCA) TE model made of fault diagnosis and identification
PCA-matlab
- 里面包含主元分析PCA的Matlab代码，包括提取主元，求方差贡献率，绘制贡献率直方图等-Which contains the principal component analysis PCA of the Matlab code, including the extraction of the main element, seeking variance contribution rate, contribution rate of histogram mapping, etc.
PCA
- PCA主元分析的matlab源代码，比较简单-PCA principal component analysis of the matlab source code is relatively simple
PCAjiankong
- PCA监控程序,即主元分析 ( Principal Component Analysis ， PCA ),这是用MATLAB编写的PCA监控程序-PCA monitoring program
kpcaprogram
- 核主元分析程序，本人毕业设计程序，用于降维，监测Te过程故障，误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
myPCA
- 主元分析，主要用于多维数据的降维处理，能够从多维数据中提取出最主要的元素，从线性变换的角度来说就是坐标表换到一个能够体现系统特征的基座标系上-Principal component analysis, multidimensional data is mainly used for dimension reduction process, multi-dimensional data can be extracted from the most important elements, from
PpcaararC
- 关于matlab主元分析的一个简单单易懂的实例，可供初学入门者参考学习。 -On the matlab principal component analysis is a simple single-understand examples, for novice beginners for reference.
matlab-TE-fault1
- matlab程序，利用主元分析、T2统计图和贡献率图方法对数据进行故障检测和诊断，贡献率图是变量对失控得分进行贡献率计算-matlab program, using principal component analysis, T2 charts and maps of the contribution rate of the data for fault detection and diagnosis, the contribution rate of the variable on the m
Principal component analysis program
- 改程序能够实现matlab主成分分析，并且可以运行成功，仅供大家互相学习参考(Principal component analysis program)
142277298PCA
- 这是一个主元分析的matlab程序，希望可以帮助到大家(This is a principal component analysis of the matlab program, I hope to help you all)