Bulletin of Bibliography PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Bulletin of Bibliography PDF full book. Access full book title Bulletin of Bibliography by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category : Bibliography
Languages : en
Pages : 566
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Bibliography
Languages : en
Pages : 566
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Schizophrenia
Languages : en
Pages : 168
Get Book Here
Book Description
Author: Henryk Sawoniak
Publisher: Walter de Gruyter
ISBN: 3110975068
Category : Reference
Languages : en
Pages : 1284
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Bibliography
Languages : en
Pages : 336
Get Book Here
Book Description
Author: Krishan Kumar
Publisher: Vikas Publishing House
ISBN: 9780706986389
Category : Language Arts & Disciplines
Languages : en
Pages : 576
Get Book Here
Book Description
This book provides a coherent account of the Theory of Classification. It discusses the contribution made by theoreticians like E.C. Richardson, J.D. Brown, W. Hulum, W.C. Berwick Sayers, H.E. Bliss and S.R. Ranganathan. However, the theory put forward by S.R. Ranganathan predominates the whole book because his contribution is far more than anybody elses. Five major schemes of Classification, Library of Congress Classification, Colon Classification and Bliss Biblio-Graphic Classification have also been discussed.
Author: Maria Witt
Publisher: Walter de Gruyter
ISBN: 3110975076
Category : Reference
Languages : en
Pages : 420
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : New York (N.Y.)
Languages : en
Pages : 524
Get Book Here
Book Description
Author: Kenneth D. Bailey
Publisher: SAGE
ISBN: 9780803952591
Category : Reference
Languages : en
Pages : 100
Get Book Here
Book Description
How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or some combination of both? In this clearly written book, Bailey addresses these questions and shows how classification methods can be used to improve research. Beginning with an exploration of the advantages and disadvantages of classification procedures including those typologies that can be constructed without the use of a computer, the book covers such topics as clustering procedures (including agglomerative and divisive methods), the relationship among various classification techniques (including the relationship of monothetic, qualitative typologies to polythetic, quantitative taxonomies), a comparison of clustering methods and how these methods compare with related statistical techniques such as factor analysis, multidimensional scaling and systems analysis, and lists classification resources. This volume also discusses software packages for use in clustering techniques.
Author: A.D. Gordon
Publisher: CRC Press
ISBN: 9781584888536
Category : Mathematics
Languages : en
Pages : 274
Get Book Here
Book Description
As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just that-investigates sets of "objects" to see if they can be summarized into a small number of classes comprising similar objects. Researchers have made great strides in the field over the last twenty years, and classification is no longer perceived as being concerned solely with exploratory analyses. The second edition of Classification incorporates many of the new and powerful methodologies developed since its first edition. Like its predecessor, this edition describes both clustering and graphical methods of representing data, and offers advice on how to decide which methods of analysis best apply to a particular data set. It goes even further, however, by providing critical overviews of recent developments not widely known, including efficient clustering algorithms, cluster validation, consensus classifications, and the classification of symbolic data. The author has taken an approach accessible to researchers in the wide variety of disciplines that can benefit from classification analysis and methods. He illustrates the methodologies by applying them to data sets-smaller sets given in the text, larger ones available through a Web site. Large multivariate data sets can be difficult to comprehend-the sheer volume and complexity can prove overwhelming. Classification methods provide efficient, accurate ways to make them less unwieldy and extract more information. Classification, Second Edition offers the ideal vehicle for gaining the background and learning the methodologies-and begin putting these techniques to use.
Author: National Institutes of Health (U.S.)
Publisher:
ISBN:
Category : Medical research personnel
Languages : en
Pages : 340
Get Book Here
Book Description
