Core Data Analysis: Summarization, Correlation, and Visualization Mirkin BorisPaperback
Core Data Analysis: Summarization, Correlation, and Visualization Mirkin BorisPaperback This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data…
Specifikacia Core Data Analysis: Summarization, Correlation, and Visualization Mirkin BorisPaperback
Core Data Analysis: Summarization, Correlation, and Visualization Mirkin BorisPaperback
This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. 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.Features:An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter.Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation 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.
Data Visualization in Society