Matrix Methods in Data Mining and Pattern Recognition (2 Revised edition) (Paperback)
 
作者: Lars Elden 
系列: Fundamentals of Algorithms
分類: Numerical analysis ,
Combinatorics & graph theory ,
Maths for computer scientists  
書城編號: 24106119


售價: $994.00

購買後立即進貨, 約需 18-25 天

 
 
出版社: Society for Industrial & Applied Mathematics,U.S.
出版日期: 2019/09/01
頁數: 229
尺寸: 178 x 255 x 20 mm
重量: 520 grams
ISBN: 9781611975857

商品簡介
Provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios.
Fundamentals of Algorithms

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Computed Tomography: Algorithms, Insight, and Just Enough Theory (Paperback)

Location Estimation from the Ground Up (Paperback)

Riemann Problems and Jupyter Solutions (Paperback)

Matrix Methods in Data Mining and Pattern Recognition (2 Revised edition) (Paperback)

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (Paperback)

Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (Paperback)

Core-Chasing Algorithms for the Eigenvalue Problem (Paperback)

Lars Elden 作者作品表

Matrix Methods in Data Mining and Pattern Recognition (2 Revised edition) (Paperback)

Matrix Methods in Data Mining and Pattern Recognition (Paperback)

Introduction to Numerical Computation (Paperback)

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