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软件设计/软件工程 数据挖掘软件发展分析 第一代数据挖掘软件 特点 支持一个或少数几个数据挖掘算法 挖掘向量数据（vector-valued data） 数据一般一次性调进内存进行处理 典型的系统如Sa
数据挖掘软件发展分析
第一代数据挖掘软件
特点
支持一个或少数几个数据挖掘算法
挖掘向量数据（vector-valued data）
数据一般一次性调进内存进行处理
典型的系统如Salford Systems公司早期的CART系统(www.salford-systems.com)
matlab例程 qrd_rls_AR_pred.m - use the QR decomposition-based RLS algorithm to predict complex-valued AR proce
qrd_rls_AR_pred.m - use the QR decomposition-based RLS algorithm
to predict complex-valued AR process.
matlab例程 rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce
rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce
软件工程 Algo s in C++. A higly valued book on various algo s book in c++. Go through the book and u will b
Algo s in C++.
A higly valued book on various algo s book in c++.
Go through the book and u will be highly enriched.
A fantastic book for beginners.
人工智能/神经网络 - XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer +
- XCS for Dynamic Environments
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mini ...
matlab例程 Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/esti
Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/estimate complex-valued processes.
单片机开发 this directory contains the following: * The acdc algorithm for finding the approximate general
this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_s ...
matlab例程 OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thre ...
压缩解压 The frequency domain plays an important role in image processing to smooth, enhance, and detect edg
The frequency domain plays an important role in image
processing to smooth, enhance, and detect edges of images. Although
image data typically does not include imaginary values, the fast Fourier
transform (FFT) has been used for obtaining spectra. In this paper,
the fast Hartley transform (FHT) is u ...