Cluster Analysis for Corpus Linguistics, Hermann Moisl
Автор: Sonobe, Tetsushi Otsuka, Keijiro Название: Cluster-based industrial development ISBN: 0230280188 ISBN-13(EAN): 9780230280182 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines how to promote industrial development in low-income countries. It considers the role of traders in the evolution of a cluster, the role of managerial human capital, the effect of the `China shock`, and the role of industrial policies focused on international knowledge transfer in supporting the upgrading of clusters.
Автор: Braunerhjelm, Pontus; Feldman, Maryann P. Название: Cluster Genesis ISBN: 0199232202 ISBN-13(EAN): 9780199232208 Издательство: Oxford Academ Рейтинг: Цена: 7285.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Clusters - regional concentrations of related firms and organizations - are seen as an important element of economic growth and innovation. But there is little understanding of how clusters come into existence, and little guidance provided on the role of policies in promoting this. Cluster Genesis focuses on these early origins of clusters.
Автор: Abonyi JГЎnos, Feil BalГЎzs Название: Cluster Analysis for Data Mining and System Identification ISBN: 3764379871 ISBN-13(EAN): 9783764379872 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new approaches to data mining and system identification. Algorithmsthat can be used for the clustering of data have been overviewed. New techniques andtools are presented for the clustering, classification, regression and visualization ofcomplex datasets. Special attention is given to the analysis of historical process data,tailored algorithms are presented for the data driven modeling of dynamical systems,determining the model order of nonlinear input-output black box models, and thesegmentation of multivariate time-series. The main methods and techniques areillustrated through several simulated and real-world applications from data mining andprocess engineering practice.The books is aimed primarily at practitioners, researches, and professionals in statistics,data mining, business intelligence, and systems engineering, but it is also accessible tograduate and undergraduate students in applied mathematics, computer science, electricaland process engineering. Familiarity with the basics of system identification and fuzzysystems is helpful but not required.
Описание: A cluster randomization trial is one in which intact social units, or clusters of individuals, are randomized to different intervention groups.
Cluster Ion-Solid Interactions: Theory, Simulation, and Experiment provides an overview of various concepts in cluster physics and related topics in physics, including the fundamentals and tools underlying novel cluster ion beam technology. The material is based on the author's highly regarded courses at Kyoto University, Purdue University, the Moscow Institute of Physics and Technology, and the Moscow Engineering Physics Institute as well as his research results on cluster ion beam applications at Kyoto University.
The author introduces the basic principles of statistical physics and thermodynamics before covering applications, experimental justifications, and practical implementations. He describes classical nucleation theory and explains the drawbacks of this theory, showing how accurate modeling and simulations are necessary to justify theoretical approaches and simplifications.
Название: Handbook of Cluster Analysis ISBN: 1466551887 ISBN-13(EAN): 9781466551886 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.
This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.
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