MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03292nam a2200421 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
WSP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260416153415.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240725s2025 si a ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789811297489 |
| -- |
(ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9811297487 |
| -- |
(ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9789811297472 |
| -- |
(hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9811297479 |
| -- |
(hbk.) |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM |
| Subject category code subdivision |
021030 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM |
| Subject category code subdivision |
094000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM |
| Subject category code subdivision |
089000 |
| Source |
bisacsh |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5/302855133 |
| Edition number |
23 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rokach, Lior. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Cluster analysis : |
| Remainder of title |
a primer using R / |
| Statement of responsibility, etc |
Lior Rokach. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Singapore : |
| Name of publisher, distributor, etc |
World Scientific Publishing, |
| Date of publication, distribution, etc |
©2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (304 p.) : |
| Other physical details |
ill. |
| 505 2# - FORMATTED CONTENTS NOTE |
|---|
| Contents |
Introduction to data clustering -- Similarity measures -- Partitioning methods for minimizing distance measures -- Hierarchical methods -- Clustering visualization -- Cluster validity : evaluation of clustering algorithms -- Mixture densities-based clustering -- Graph clustering -- Grid-based clustering methods -- Deep learning for clustering -- Spectral clustering. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Cluster analysis is a fundamental data analysis task that aims to group similar data points together, revealing the inherent structure and patterns within complex datasets. This book serves as a comprehensive and accessible guide, taking readers on a captivating journey through the foundational principles of cluster analysis. At its core, the book delves deeply into various clustering algorithms, covering partitioning methods, hierarchical methods, and advanced techniques such as mixture density-based clustering, graph clustering, and grid-based clustering. Each method is presented with clear, concise explanations, supported by illustrative examples and hands-on implementations in the R programming language - a popular and powerful tool for data analysis and visualization. Recognizing the importance of cluster validation and evaluation, the book devotes a dedicated chapter to exploring a wide range of internal and external quality criteria, equipping readers with the necessary tools to assess the performance of clustering algorithms. For those eager to stay at the forefront of the field, the book also presents deep learning-based clustering methods, showcasing the remarkable capabilities of neural networks in uncovering hidden structures within complex, high-dimensional data. Whether you are a student seeking to expand your knowledge, a data analyst looking to enhance your toolbox, or a researcher exploring the frontiers of data analysis, this book will provide you with a solid foundation in cluster analysis and empower you to tackle a wide range of data-driven problems"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Cluster analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Cluster analysis |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://www.worldscientific.com/worldscibooks/10.1142/13968#t=toc">https://www.worldscientific.com/worldscibooks/10.1142/13968#t=toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Electronic Books |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| -- |
Publisher's website. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat reader. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| General subdivision |
Data processing. |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
