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Название: Core Data Analysis: Summarization, Correlation, and Visualization, Second Edition
Автор: Boris Mirkin
Издательство: Springer
Год: 2019
Формат: PDF
Страниц: 536
Размер: 14.64 МБ
Язык: English
This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank.