Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Contents
What is OODA? -- Breadth of OODA -- Data object definition -- exploratory and confirmatory analyses -- OODA P -- Data visualization -- Distance based methods -- Manifold data analysis -- FDA Curve Registration -- Graph structured data objects -- Classification -- supervised learning -- Clustering -- unsupervised learning -- High dimensional inference -- High dimensional asymptotics -- Smoothing and SiZer -- Robust methods -- PCA details and variants -- OODA context and related areas
Summary
"Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex Data. It is deliberately intended to be particularly useful in the analysis of data in complicated situations which are typically not easily represented as an unconstrained matrix of numbers"-- Provided by publisher
Bibliography
Includes bibliographical references and index
Notes
Description based upon online resource; title from PDF title page (viewed December 13, 2021)
