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Buch Cover Principal Component Analysis and Randomness Test for Big Data Analysis
Mieko Tanaka-Yamawaki, Yumihiko Ikura
Springer Singapore
117.69 € · Hardcover
Big Data Analysis RMT-PCA Trendy Sectors of the Stock Market RMT-Test Evaluation of Random Number Generators
This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal compon...
Buch Cover Principal Component Analysis and Randomness Tests for Big Data Analysis
This book presents the novel approach of analyzing large-sized numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, rando...
Buch Cover Principal Component Analysis and Randomness Test for Big Data Analysis
This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal compon...
Buch Cover Principal Component Analysis and Randomness Test for Big Data Analysis
Mieko Tanaka-Yamawaki, Yumihiko Ikura
Springer Singapore
117.69 € · Paperback
Big Data Analysis RMT-PCA Trendy Sectors of the Stock Market RMT-Test Evaluation of Random Number Generators
This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal compon...
Buch Cover Principal Component Analysis and Randomness Tests for Big Data Analysis
This book presents the novel approach of analyzing large-sized numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, rando...

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