Microclusters
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| Author | : Satoru Sugano |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 166 |
| Release | : 2013-03-08 |
| Genre | : Science |
| ISBN | : 3642973302 |
This book aims at providing graduate students and researchers with funda mental knowledge indispensable for entering the new field of "microclus 3 ters". Microclusters consisting of 10 to 10 atoms exhibit neither the pro perties of the corresponding bulk nor those of the corresponding molecule of a few atoms. The microclusters may be considered to form a new phase of materials lying between macroscopic solids and microscopic particles such as atoms and molecules, showing both macroscopic and microscopic features. However, research into such"a riew phase has been left untouched until recent years by the development of the quantum theory of matter. The microscopic features of microclusters were first revealed by ob serving anomalies of the mass spectrum of a Na cluster beam at specific sizes, called magic numbers. Then it was experimentally confirmed that the magic numbers come from the shell structure of valence electrons. Being stimulated by these epoch-making findings in metal microclusters and aided by progress of the experimental techniques producing relatively dense, non interacting micro clusters of various sizes in the form of micro cluster beams, the research field of microclusters has developed rapidly in these 5 to 7 years. The progress is also due to the improvement of computers and com putational techniques, which have made it possible to perform ab initio cal culations of the atomic and electronic structure of smaller microclusters, as well as to carry out computer simulations of their dynamics.
| Author | : Charu C. Aggarwal |
| Publisher | : CRC Press |
| Total Pages | : 654 |
| Release | : 2018-09-03 |
| Genre | : Business & Economics |
| ISBN | : 1315360411 |
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
| Author | : Satoru Sugano |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 246 |
| Release | : 2013-03-07 |
| Genre | : Science |
| ISBN | : 364258926X |
A lucid account of the fundamental physics of all types of microclusters, outlining the dynamics and static properties of this new phase of matter between a solid and a molecule. Since the book's first publication, the field of microclusters has experienced surprising developments, which are reviewed in this new edition: The determination of atomic structure, spontaneous alloying, super-shell, fission, fragmentation, evaporation, magnetism, fullerenes, nanotubes, atomic structure of large silicon clusters, superfluidity of a He cluster, water clusters in liquid, electron correlation and optimizsation of the geometry, and scattering.
| Author | : Ewen Michael |
| Publisher | : Routledge |
| Total Pages | : 205 |
| Release | : 2006-10-19 |
| Genre | : Business & Economics |
| ISBN | : 1136377999 |
This book introduces a new approach to the analysis and management of growth in small tourism markets for regional and rural locations. It recognizes from the outset that the vast bulk of the tourism industry’s product is delivered by small business enterprises and that many of these are located outside of metropolitan areas. Its central premise is that a myriad of small-scale clusters can provide an effective means to establish a local competitive advantage in tourism activities based on the resources of existing communities. The book brings together contemporary views of the potential of clustering theory to promote development in micro-markets, within the paradigm of competition, to create a new framework for regional development that might serve to enhance the growth of small-scale tourism destinations. Microclusters and Networks provides a theoretical explanation of how and why micro-clusters come about, with chapters by specialist authors to illustrate examples of their practice in the real world; but it goes further to demonstrate not only why they work but also how community members interact to form successful clusters. The incorporation of networking theory provides the means to explain the role of local community interaction in delivering successful social outcomes. The analysis that is provided clearly has applications for many industries beyond the development of rural and regional tourism destinations.
| Author | : Satoru Sugano |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 299 |
| Release | : 2013-03-12 |
| Genre | : Science |
| ISBN | : 3642830641 |
This volume contains the proceedings of the first in a series of biennial NEC Symposia on Fundamental Approaches to New Material Phases sponsored by the NEC Corporation, Tokyo, Japan. The symposium was held Octo ber 20-22, 1986, at Hakone Kanko Hotel in Hakone near Mt. Fuji, and on October 23 at NEC Laboratories in Kawasaki, Japan. About 40 partic ipants stayed together at the symposium sites during this period. They enjoyed intense and wide-ranging discussions in a conference room facing Mt. Fuji and the beautiful lake Ashinoko extending from the foot of the slope in the old crater. The title of the volume, Microclusters, means microscopic aggregates consisting of a few tens through a few hundreds of atoms. Microclusters, which are too big to be described as inorganic molecules but too small to have translational symmetry, are expected to show exotic properties which can be found in neither molecules nor solids. In the past few years the research field of microclusters has shown rapid and epoch-making de velopment. This is partly due to rapid development of the experimental techniques which have enabled the production of relatively dense, non interacting microclusters of various sizes in the form of cluster beams, thus allowing measurement of the properties of a free microcluster of a given size.
| Author | : Gianfranco Pacchioni |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 683 |
| Release | : 2013-03-08 |
| Genre | : Science |
| ISBN | : 1468460218 |
It is widely recognized that an understanding of the physical and chemical properties of clusters will give a great deal of important information relevant to surface and bulk properties of condensed matter. This relevance of clusters for condensed matter is one of the major motivations for the study of atomic and molecular clusters. The changes of properties with cluster size, from small clusters containing only a few atoms to large clusters containing tens of thousands of atoms, provides a unique way to understand and to control the development of bulk properties as separated units are brought together to form an extended system. Another important use of clusters is as theoretical models of surfaces and bulk materials. The electronic wavefunctions for these cluster models have special advantages for understanding, in particular, the local properties of condensed matter. The cluster wavefunctions, obtained with molecular orbital theory, make it possible to relate chemical concepts developed to describe chemical bonds in molecules to the very closely related chemical bonding at the surface and in the bulk of condensed matter. The applications of clusters to phenomena in condensed matter is a cross-disciplinary activity which requires the interaction and collaboration of researchers in traditionally separate areas. For example, it is necessary to bring together workers whose background and expertise is molecular chemistry with those whose background is solid state physics. It is also necessary to bring together experimentalists and theoreticians.
| Author | : James C. Bezdek |
| Publisher | : CRC Press |
| Total Pages | : 516 |
| Release | : 2022-10-17 |
| Genre | : Science |
| ISBN | : 1000794784 |
The availability of packaged clustering programs means that anyone with data can easily do cluster analysis on it. But many users of this technology don't fully appreciate its many hidden dangers. In today's world of "grab and go algorithms," part of my motivation for writing this book is to provide users with a set of cautionary tales about cluster analysis, for it is very much an art as well as a science, and it is easy to stumble if you don't understand its pitfalls. Indeed, it is easy to trip over them even if you do! The parenthetical word usually in the title is very important, because all clustering algorithms can and do fail from time to time. Modern cluster analysis has become so technically intricate that it is often hard for the beginner or the non-specialist to appreciate and understand its many hidden dangers. Here's how Yogi Berra put it, and he was right: In theory there's no difference between theory and practice. In practice, there is ~Yogi Berra This book is a step backwards, to four classical methods for clustering in small, static data sets that have all withstood the tests of time. The youngest of the four methods is now almost 50 years old: Gaussian Mixture Decomposition (GMD, 1898) SAHN Clustering (principally single linkage (SL, 1909)) Hard c-means (HCM, 1956, also widely known as (aka) "k-means") Fuzzy c-means (FCM, 1973, reduces to HCM in a certain limit) The dates are the first known writing (to me, anyway) about these four models. I am (with apologies to Marvel Comics) very comfortable in calling HCM, FCM, GMD and SL the Fantastic Four. Cluster analysis is a vast topic. The overall picture in clustering is quite overwhelming, so any attempt to swim at the deep end of the pool in even a very specialized subfield requires a lot of training. But we all start out at the shallow end (or at least that's where we should start!), and this book is aimed squarely at teaching toddlers not to be afraid of the water. There is no section of this book that, if explored in real depth, cannot be expanded into its own volume. So, if your needs are for an in-depth treatment of all the latest developments in any topic in this volume, the best I can do - what I will try to do anyway - is lead you to the pool, and show you where to jump in.
| Author | : Olfa Nasraoui |
| Publisher | : Springer |
| Total Pages | : 192 |
| Release | : 2018-10-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3319978640 |
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
| Author | : Yongan Yang |
| Publisher | : |
| Total Pages | : 276 |
| Release | : 1991 |
| Genre | : Laser spectroscopy |
| ISBN | : |
| Author | : Henrique C. M. Andrade |
| Publisher | : Cambridge University Press |
| Total Pages | : 559 |
| Release | : 2014-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1107434009 |
Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.
