搜索资源列表
LogisticRegression
- 关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, va
SegAndPosTools
- 实现语料的分割，和特征值的提取，还有bayes分类器-achieve Corpus segmentation, and eigenvalue extraction, and bayes classifier
maxeig
- Maximum eigenvalue and the corresponding eigenvector.-Maximum and the corresponding eigenvalue eigenvector.
cprogramtogetthecharactervalueofavector
- c语言矩阵特征值求解代码，在求解特征选择和特征提取时候使用的。欢迎各位测试，提意见。-c matrix eigenvalue language code for the solution of feature selection and feature extraction often used. Welcome to test opinions.
eig_mifa
- 用幂法求矩阵的特征值，求出来的是矩阵最大的特征和对应的特征向量。-method for using the power of the matrix eigenvalue, seeking the Matrix is the biggest character and the corresponding eigenvector.
pca
- 小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.
qr
- 1． Using power method to find the eigenvalue with maximum modulus and its eigenvector for the following matrixes
雅可比过关法求实对称矩阵特征值与特征向量
- 雅可比过关法求实对称矩阵特征值与特征向量-Jacobian clearance France realistic symmetric matrix eigenvalue and eigenvector
qr方法求赫申伯格矩阵的全部特征值
- qr方法求赫申伯格矩阵的全部特征值-qr Hoeschen way for the full Burg matrix eigenvalue
numericalhomework
- 求解矩阵的最大最小特征值及对应的特征向量，以及计算条件数-solving matrix eigenvalue largest and the smallest corresponding eigenvectors and calculate several conditions
V9
- 矩阵特征值的求解过程之一-matrix eigenvalue one of the solution process
V1
- 矩阵特征值的求解过程之二-matrix eigenvalue of the solution process bis
V3
- 矩阵特征值的求解过程之三-matrix eigenvalue of the solution process ter
ppca
- Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the
arpack++.tar
- ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
lapackpp-2.5.2.tar
- LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures
Eigenvalue
- 这是用C编的计算大矩阵特征值和特征向量的程序。 提供了雅可比法和豪斯荷尔德-QR法两种方法计算矩阵特征值，可实现求取矩阵的特征值，所有结果必须到相应文件夹下（必须同时存放矩阵文件和程序）查看，特征值已经按从小到大的顺序排好。
QR_LU_Eigenvalue
- 包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based o
eignvalue
- 一般实矩阵的特征值计算-general real matrix eigenvalue calculation
矩阵特征值的计算
- 矩阵特征值与特征向量的计算约化对称矩阵为对称对角阵的豪斯荷尔镕变换法似对称三对角阵的全部特征值、特征向量的计算等-Matrix eigenvalues and eigenvectors of the calculation about symmetry symmetric matrix diagonal matrix ho Shihemi Rong transform it symmetric tridiagonal matrix ei