中图分类法:	O212.4 版次：
著者:	Koch, Inge,
题名:	Analysis of multivariate and high-dimensional data / / ,
载体形态:	xxv, 504 pages ; 27 cm.
内容提要:	"'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text integrates the two strands into a coherent treatment, drawing together theory, data, computation and recent research. The theoretical framework includes formal definitions, theorems and proofs, which clearly set out the guaranteed 'safe operating zone' for the methods and allow users to assess whether data is in or near the zone. Extensive examples showcase the strengths and limitations of different methods in a range of cases: small classical data; data from medicine, biology, marketing and finance; high-dimensional data from bi