Cluster Models And Other Topics

Cluster Models And Other Topics
Title Cluster Models And Other Topics PDF eBook
Author S A Chin
Publisher World Scientific
Pages 520
Release 1987-02-01
Genre Science
ISBN 9814513628

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This volume consists of contributions from some of Japan's most eminent nuclear theorists. The cluster model of the nucleus is discussed pedagogically and the current status of the field is surveyed. A contribution on Monte Carlo Methods and Lattice Gauge Theories gives nuclear theorists a glimpse of related developments in QCD and Gauge Theories. Few Body Systems are reviewed by Y Akaishi, paying special attention to the ATMS Multiple Scattering Method.

Cluster Models and Other Topics

Cluster Models and Other Topics
Title Cluster Models and Other Topics PDF eBook
Author Yoshinori Akaishi
Publisher World Scientific
Pages 538
Release 1986
Genre Science
ISBN 9789971500788

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This volume consists of contributions from some of Japan's most eminent nuclear theorists. The cluster model of the nucleus is discussed pedagogically and the current status of the field is surveyed. A contribution on Monte Carlo Methods and Lattice Gauge Theories gives nuclear theorists a glimpse of related developments in QCD and Gauge Theories. Few Body Systems are reviewed by Y Akaishi, paying special attention to the ATMS Multiple Scattering Method.

Clustering Algorithms

Clustering Algorithms
Title Clustering Algorithms PDF eBook
Author John A. Hartigan
Publisher John Wiley & Sons
Pages 374
Release 1975
Genre Mathematics
ISBN

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Shows how Galileo, Newton, and Einstein tried to explain gravity. Discusses the concept of microgravity and NASA's research on gravity and microgravity.

Model-Based Clustering and Classification for Data Science

Model-Based Clustering and Classification for Data Science
Title Model-Based Clustering and Classification for Data Science PDF eBook
Author Charles Bouveyron
Publisher Cambridge University Press
Pages 447
Release 2019-07-25
Genre Mathematics
ISBN 1108640591

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Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.

Text Mining with R

Text Mining with R
Title Text Mining with R PDF eBook
Author Julia Silge
Publisher "O'Reilly Media, Inc."
Pages 193
Release 2017-06-12
Genre Computers
ISBN 1491981628

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Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Handbook of Cluster Analysis

Handbook of Cluster Analysis
Title Handbook of Cluster Analysis PDF eBook
Author Christian Hennig
Publisher CRC Press
Pages 753
Release 2015-12-16
Genre Business & Economics
ISBN 1466551895

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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

Clusters, Orders, and Trees: Methods and Applications

Clusters, Orders, and Trees: Methods and Applications
Title Clusters, Orders, and Trees: Methods and Applications PDF eBook
Author Fuad Aleskerov
Publisher Springer
Pages 404
Release 2014-06-11
Genre Mathematics
ISBN 1493907425

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The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin’s ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond. Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures—first of all, clusters, orderings and hierarchies—in multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted in Mirkin’s fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining and knowledge discovery. Researchers, students and software engineers will benefit from new knowledge discovery techniques and application directions.