搜索资源列表
-
0下载：
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components
-
-
0下载：
脉冲耦合神经网络PCNN，主成分分析PCA，NSCT分解和重构(Using MATLAB to Realize Pulse Coupling Neural Network PCNN, Principal Component Analysis PCA, NSCT Decomposition and Reconstruction)
-
-
0下载：
使用MATLAB实现主成分分析，其中包含两种不同的方法。(Two different methods are used to achieve principal component analysis by MATLAB.)
-
-
2下载：
K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
-
-
1下载：
主成分分析法的c++代码，有俩个版本的实现方法(C++ code of principal component analysis)
-
-
0下载：
主成分分析实现代码，以测试集辛烷值含量预测结果对比为例，内附数据，代码，matlab实现(Principal component analysis implementation code)
-
-
0下载：
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)
-
-
0下载：
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.)
-
-
0下载：
主成份分析代码，实现对信号的主成分分析和实现，有利于更好理解这部分功能。(Principal component analysis code, to achieve the main component of the signal analysis and implementation, is conducive to a better understanding of this part of the function)
-
-
0下载：
函数是封装好的主成分分析法的程序，输入原始数据矩阵即可(Function is a good package of principal component analysis of the procedure.
The original input data matrix can be input)
-
-
0下载：
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)
-
-
0下载：
可以实现主成分分析（PCA）和独立成分分析（ICA）。(This package contains functions that implement Principal Component Analysis (PCA) and Independent Component Analysis (ICA).)
-
-
0下载：
matlab里面运行的主成分分析通用程序，是常用的一种统计分析方法(General program running in MATLAB is a commonly used statistical analysis methodfor principal component analysis)
-
-
1下载：
利用matlab进行pca主成分分析，简单易懂，适合新手(The use of MATLAB PCA, principal component analysis, simple, suitable for beginners)
-
-
0下载：
MATLAB实现主元分析法，实现数据的压缩，提取主元(MATLAB realize Principal Component Analysis, To achieve data compression, extract the principal component)
-
-
0下载：
主成分分析主要进行降维处理，以减小变量数目和使信号独立(Principal component analysis mainly reduces dimensionality to reduce the number of variables and make the signal independent)
-
-
1下载：
PCA故障分析程序，主元分析法，故障诊断，TE过程的数据。(PCA fault analysis program, principal component analysis, fault diagnosis, TE process data.)
-
-
0下载：
PCA adalah teknik statistik yang sudah digunakan secara luas baik dalam hal pengenalan wajah maupun pengenalan pola dari sebuah gambar. Metode Principal Component Analysis (PCA) dibuat pertama kali oleh para ahli statistik dan ditemukan oleh Karl Pea
-
-
0下载：
PCA主成分分析源代码，PCA是用于降维是经典方法，现在仍有很多人用主成分分析方法进行降维，降低算法复杂度。(PCA is the source code of principal component analysis. PCA is a classical method for dimensionality reduction. Many people still use principal component analysis to reduce dimension and reduce a
-
-
1下载：
基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)
-
«
1
2
3
4
5
6
78
9
10
11
12
...
50
»
