搜索资源列表
newPCA
- 一种新的主元分析降维方法，PCA特征矩阵与相关系数法相结合，结合系数通过归一化方法求出同时满足贡献率与相关性分析的特征变量-a new strategy of PCA dimensionality reduction .the combination of PCA with Correlation coefficient，Feature variable is adappted to Correlation coefficient analysis and contribution rate
KPCA
- 这是一个关于核主元分析的代码,在win7平台上用C++编写-This is the code on nuclear Principal Component Analysis on win7 platform written C++
MatlabKPCA
- 用Matlab编写的一个核主元分析的代码-Matlab code with the preparation of a nuclear Principal Component Analysis
KPCA-Codes
- 核主元分析的matlab代码，数据是随机产生的，可运行出结果-KPCA matlab code, data is randomly generated, you can run the results
pca
- 主元分析java源代码，很好的学习资料 值的一看-PCA java source code, good learning materials
pca
- 基于主元分析的异常检测和故障诊断，用于对具有高度线性相关的测量数据进行分析和处理，其最终实现高维空间降维的目的。-Anomaly detection based on principal component analysis and fault diagnosis, used for highly linear correlation measurement data analysis and processing, its ultimate achieve the goal of higher
PCA
- 能够实现对多维数据的PCA主元分析，对数据降维，提取主元。-PCA principal component analysis can be achieved, for data dimensionality reduction, extraction PCA
BTP_Prediction_based_on_BPNN
- 该论文将神经网络应用到烧结终点的预测中，并结合主元分析、灰色理论等人工智能技术，建立了实用有效的预测模型。该方法成功应用于某钢铁企业280m2大型烧结机的在线控制。经过验证，该方法克服了人工判断的随机性，针对不同工况准确预报烧结终点，该预报值可用来指导生产或送控制计算机，为烧结终点智能控制提供操作依据。-In this paper,ANN technology is applied to build the practical and useful prediction model of B
yuandaima
- 这里面包括平行坐标、主元分析、画3Y轴、三维坐标下作图以及波谱图几个代码。-This includes parallel coordinates, principal component analysis, draw 3 y, under the 3 d coordinate mapping and spectrogram several code.
PCA_model
- 用于TE模型的故障数据检测，使用pca主元分析法，- TE model by using pca detection
pcaPmatlab
- 主元分析和核主元分析MATLAB程序及讲义 -PCA Principal component analysis and principal component analysis of MATLAB and the worksheets
PcaBR
- 主元分析方法和用最优重构法确定最佳主元数。-Principal Component Analysis and determine the optimal number of PCA with best reconstruction method(BR).
temex
- 主元分析法在te过程故障诊断的仿真，和正常模型-Principal component analysis method in TE process fault diagnosis simulation, and normal model
KICA
- 核独立主元分析(KICA算法)在模式识别、过程监测、故障诊断等不同领域的应用中都表现了很好的性能。-Kernel independent principal component analysis (KICA algorithm) has shown good performance in pattern recognition, process monitoring, fault diagnosis and other fields.
PCA
- PCA主元分析法求主元个数，Q和T2的源程序-PCA principal component analysis method for the number of main elements, Q and T2 of the source
Kpca
- 核主元分析法，将低维数据，映射到高维空间，进行更精确的非线性划分。-Kernel principal component analysis, the low-dimensional data, mapping to high-dimensional space for more accurate non-linear division.
PCA
- 关于主元分析法的程序，希望大家可以用的上。-About the application of principal component analysis, hope everyone can use.
FacePCAjava
- 通过PCA主元分析降维来实现图像，人脸及光谱识别算法- Through principal component analysis PCA dimensionality reduction to achieve image, face recognition algorithm and spectrum
PCAMatlab
- PCA主元分析及实现方法(内含《精通MATLAB数字图像处理与识别》)-Analysis of PCA Principal Component and Its Implementation
77257795PCA_yuandaima
- PCA源程序，主元分析源程序，可以用于变量的特征提取(PCA source code, principal component analysis source, can be used for variable feature extraction)