Principal Component Analysis Networks and Algorithms, Kong Xiangyu, Hu Changhua, Duan Zhansheng

Автор: Jolliffe I.T.
Название: Principal Component Analysis. 2 ed.
ISBN: 0387954422 ISBN-13(EAN): 9780387954424
Издательство: Springer
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Цена: 30491.00 р.
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Описание: The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. Its length is nearly double that of the first edition.

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
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Цена: 8458.00 р.
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Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Автор: Mori
Название: Nonlinear Principal Component Analysis and Its Applications
ISBN: 981100157X ISBN-13(EAN): 9789811001574
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.

Автор: Ganesh R. Naik
Название: Advances in Principal Component Analysis
ISBN: 9811067031 ISBN-13(EAN): 9789811067037
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail.

Автор: I.T. Jolliffe
Название: Principal Component Analysis. 2 ed.
ISBN: 1441929991 ISBN-13(EAN): 9781441929990
Издательство: Springer
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Цена: 30491.00 р.
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Описание: The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. Its length is nearly double that of the first edition.

Автор: Cross Rebecca
Название: Diverse Applications of Principal Component Analysis
ISBN: 1632401509 ISBN-13(EAN): 9781632401502
Издательство: Неизвестно
Цена: 17694.00 р.
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Автор: Cross Rebecca
Название: Principal Component Analysis Handbook
ISBN: 1632404168 ISBN-13(EAN): 9781632404169
Издательство: Неизвестно
Цена: 17694.00 р.
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Автор: Akutsu Tatsuya
Название: Algorithms for Analysis, Inference, and Control of Boolean Networks
ISBN: 9813233427 ISBN-13(EAN): 9789813233423
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание:

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many studies have been undertaken from a computational viewpoint. This book presents rigorous algorithmic results on important computational problems on BNs, which include inference of a BN, detection of singleton and periodic attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean networks and a Boolean model of metabolic networks. Although most contents of the book are based on the work by the author and collaborators, other important computational results and techniques are also reviewed or explained.

Автор: Cross Rebecca
Название: Principal Component Analysis
ISBN: 163240415X ISBN-13(EAN): 9781632404152
Издательство: Неизвестно
Цена: 19304.00 р.
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Автор: Ganesh R. Naik
Название: Advances in Principal Component Analysis
ISBN: 9811349347 ISBN-13(EAN): 9789811349348
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.

Автор: Vidal, Rene Ma, Yi Sastry, Shankar
Название: Generalized principal component analysis
ISBN: 1493979124 ISBN-13(EAN): 9781493979127
Издательство: Springer
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Цена: 9146.00 р.
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Описание: This book offers a new method for studying hybrid models: Generalized Principal Component Analysis. Coverage includes statistical, geometric and algebraic concepts associated with estimation and segmentation of hybrid models, especially hybrid linear models.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: Random House (USA)
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Цена: 16553.00 р.
Наличие на складе: Нет в наличии.

Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.