I am very happy to have this opportunity to present the work of Boris Mirkin, a distinguished Russian scholar in the areas of data analysis and decision making methodologies. The monograph is devoted entirely to clustering, a discipline dispersed through many theoretical and application areas, from mathematical statistics and combina torial optimization to biology, sociology and organizational structures. It compiles an immense amount of research done to date, including many original Russian de velopments never presented to the international community before (for instance, cluster-by-cluster versions of the K-Means method in Chapter 4 or uniform par titioning in Chapter 5). The author's approach, approximation clustering, allows him both to systematize a great part of the discipline and to develop many in novative methods in the framework of optimization problems. The optimization methods considered are proved to be meaningful in the contexts of data analysis and clustering. The material presented in this book is quite interesting and stimulating in paradigms, clustering and optimization. On the other hand, it has a substantial application appeal. The book will be useful both to specialists and students in the fields of data analysis and clustering as well as in biology, psychology, economics, marketing research, artificial intelligence, and other scientific disciplines. Panos Pardalos, Series Editor.

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.

From the ongoing flood of misinformation to the swift changes occasioned by the pandemic, a myriad of factors is spurring our profession to rethink reference services. Luckily, this classic text is back in a newly overhauled edition that thoughtfully addresses the evolving reference landscape. Designed to complement every introductory library reference course, Cassell and Hiremath's book also serves as the perfect resource to guide current practitioners in their day-to-day work. It teaches failsafe methods for identifying important materials by matching specific types of questions to the best available sources, regardless of format. Guided by a national advisory board of educators and experts, this thoroughly updated text presents chapters covering fundamental concepts, major reference sources, and special topics while also offering fresh insights on timely issues, including a basic template for the skills required and expectations demanded of the reference librarian; the pandemic’s effect on reference services and how the ingenuity employed by libraries in providing remote and virtual reference is here to stay; a new chapter dedicated to health information, with a special focus on health equity and information sources; selecting and evaluating reference materials, with strategies for keeping up to date; a heightened emphasis on techniques for evaluating sources for misinformation and ways to give library users the tools to discern facts vs. “fake facts”; reference as programming, readers’ advisory services, developmentally appropriate material for children and young adults, and information literacy; evidence-based guidance on handling microaggressions in reference interactions, featuring discussions of cultural humility and competence alongside recommended resources on implicit bias; managing, assessing, and improving reference services; and the future of information and reference services, encapsulating existing models, materials, and services to project possible evolutions in the dynamic world of reference

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The