Explores regular structures in graphs and contingency tables by spectral theory and statistical methods
This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs.
This book is suitable for a one-semester course for graduate students in data mining, multivariate statistics, or applied graph theory; but by skipping the proofs, the algorithms can also be used by specialists who just want to retrieve information from their data when analysing communication, social, or biological networks.
Spectral Clustering and Biclustering:
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
She is graduated from the Eötvös University of Budapest and holds a PhD (1984); further, a CSc degree (1993) from the Hungarian Academy of Sciences. Currently, she is a professor of the Institute of Mathematics, Budapest University of Technology and Economics and adjoint professor of the Central European University of Budapest. She also leads an undergraduate research course on Spectral Clustering in the Budapest Semester of Mathematics.
Her fields of expertise are multivariate statistics, applied graph theory, and data mining of social, biological, and communication networks. She has been working in various national and European research projects related to networks and data analysis.
She has published research papers in the Journal of Multivariate Analysis, Linear Algebra and Its Applications, Discrete Mathematics, Discrete Applied Mathematics, European Journal of Combinatorics, and the Physical Review E, among others.
She is the coauthor of the textbook in Hungarian: Bolla, M., Krámli, A., Theory of statistical inference, Typotex, Budapest (first ed. 2005, second ed. 2012) and another Hungarian book on multivariate statistical analysis. She was the managing editor of the book Contests in Higher Mathematics (ed. G. J. Székely), Springer, 1996.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 5,25
Da: Regno Unito a: U.S.A.
Descrizione libro hardback. Condizione: New. Language: ENG. Codice articolo 9781118344927
Descrizione libro Condizione: New. Codice articolo 15682143-n
Descrizione libro Condizione: New. Codice articolo 15682143-n
Descrizione libro Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Codice articolo B9781118344927
Descrizione libro Hardcover. Condizione: New. Codice articolo 6666-WLY-9781118344927
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FW-9781118344927
Descrizione libro Condizione: New. Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Num Pages: 292 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 160 x 238 x 19. Weight in Grams: 504. . 2013. 1st Edition. Hardcover. . . . . Codice articolo V9781118344927
Descrizione libro Hardcover. Condizione: Brand New. 1st edition. 292 pages. 9.50x6.25x0.75 inches. In Stock. Codice articolo __1118344928
Descrizione libro Condizione: New. She is graduated from the Eoetvoes University of Budapest and holds a PhD (1984) further, a CSc degree (1993) from the Hungarian Academy of Sciences. Currently, she is a professor of the Institute of Mathematics, Budapest University of Technology and Economi. Codice articolo 556567219
Descrizione libro Condizione: New. Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Num Pages: 292 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 160 x 238 x 19. Weight in Grams: 504. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9781118344927