Cluster

Cluster

Author: Piers Anthony

Publisher: Hachette UK

Published: 2011-12-12

Total Pages: 190

ISBN-13: 0575123257

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As CLUSTER opens, the alien envoy Pnotl of Sphere Knyfh seeks help from Sphere Sol in a shared galactic-level crisis: Galaxy Andromeda has discovered the secret of energy transfer and intends to use it to steal the basic energy of the Milky Way Galaxy. Knyfh offers the secret of aura transfer on the understanding that Sphere Sol will spread the technology to help create a galactic coalition to find and defeat agents of Andromeda. Sol's highest-Kirlian individual is Flint, a green-skinned native of Outworld, who has a Kirlian aura of 200, an eidetic memory (useful for memorizing the complex equations of Kirlian transfer that he will need to communicate to other spheres). He has extraordinary intelligence, and is highly adaptable. His mission is complicated, however, by the fact that he is pursued everywhere by a very high Kirlian female Andromedan agent and, somehow, the Andromedans are able to detect and trace Kirlian transfers. Flint embarks upon several missions to bring transfer technology to neighboring spheres, inhabiting various alien forms. His efforts are successful despite attacks and sabotage by the Andromedan agent. Through the conflict, however, the mutual attraction of their two vastly superior auras begins to undermine their individual loyalty to their own Spheres. Flint and a group of other entities recover the information that will allow them to detect and trace transfers and one of the group is revealed as the Andromedan agent. One result is the catastrophic destruction of the local habitat. Flint and his nemesis are transferred into alien Mintakan bodies to survive. Choosing to leave things with parity between their two galaxies, Flint and the Andromedan mate and remain together until their auras fade (which happens rapidly since their physical bodies have been destroyed).


Clustering

Clustering

Author: Rui Xu

Publisher: John Wiley & Sons

Published: 2008-11-03

Total Pages: 400

ISBN-13: 0470382783

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This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.


Global Clusters of Innovation

Global Clusters of Innovation

Author: Jerome S. Engel

Publisher: Edward Elgar Publishing

Published: 2014-09-26

Total Pages: 431

ISBN-13: 1783470836

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øIn the geography of the global economy, there are known Šhot spots� where new technologies germinate at an astounding rate and pools of capital, expertise and talent foster the development of new industries and new ways of doing business. These cluste


Linux Clustering

Linux Clustering

Author: Charles Bookman

Publisher: Sams Publishing

Published: 2003

Total Pages: 296

ISBN-13: 9781578702749

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"Linux Clustering" is the premier resource for system administrators wishing to implement clustering solutions on the many types of Linux systems. It guides Linux Administrators through difficult tasks while offering helpful tips and tricks.


Complexity and Industrial Clusters

Complexity and Industrial Clusters

Author: Alberto Quadrio Curzio

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 307

ISBN-13: 3642500072

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This volume contains the proceedings of the international conference "Complexity and Industrial Clusters: Dynamics and Models in Theory and Practice", organized by Fondazione Comunita e Innovazione and held in Milan on June 19 and 20, 2001 under the aegis of the Accademia Nazionale dei Lincei (founded in Rome in 1604), one of the oldest and most famous national academies of science in the world. Fondazione Comunita e Innovazione encourages research and the dissemination of knowledge about social, economic, cultural and civil issues. It promotes research and innovation related to local production systems and industrial districts, with special reference to: the interactions between large companies and SMEs (small and medium-size enterprises), the effects of industrial districts on the development and welfare of their communities and of neighbouring areas, the effects of globalisation on these local systems of productions. Fondazione Comunita e Innovazione was created in Milan in 1999. It supports studies, publications, and events, both on its own and in cooperation with corporations, research institutes, foundations, associations and universities. It also grants scientific sponsorship to research that is in line with its mission, as set forth in its by-laws. The founding member of the Fondazione is Edison (formerly Monted:son). The other subscribing members, in historical order, are: Ausimont, Tecnimont, Eridania, Accenture, and PricewaterhouseCoopers.


Data Clustering

Data Clustering

Author: Charu C. Aggarwal

Publisher: CRC Press

Published: 2013-08-21

Total Pages: 648

ISBN-13: 1466558229

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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.


Logistics Clusters

Logistics Clusters

Author: Yossi Sheffi

Publisher: MIT Press

Published: 2012-09-14

Total Pages: 368

ISBN-13: 0262305097

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How logistics clusters can create jobs while providing companies with competitive advantage. Why is Memphis home to hundreds of motor carrier terminals and distribution centers? Why does the tiny island-nation of Singapore handle a fifth of the world's maritime containers and half the world's annual supply of crude oil? Which jobs can replace lost manufacturing jobs in advanced economies? Some of the answers to these questions are rooted in the phenomenon of logistics clusters—geographically concentrated sets of logistics-related business activities. In this book, supply chain management expert Yossi Sheffi explains why Memphis, Singapore, Chicago, Rotterdam, Los Angeles, and scores of other locations have been successful in developing such clusters while others have not. Sheffi outlines the characteristic “positive feedback loop” of logistics clusters development and what differentiates them from other industrial clusters; how logistics clusters “add value” by generating other industrial activities; why firms should locate their distribution and value-added activities in logistics clusters; and the proper role of government support, in the form of investment, regulation, and trade policy. Sheffi also argues for the most important advantage offered by logistics clusters in today's recession-plagued economy: jobs, many of them open to low-skilled workers, that are concentrated locally and not “offshorable.” These logistics clusters offer what is rare in today's economy: authentic success stories. For this reason, numerous regional and central governments as well as scores of real estate developers are investing in the development of such clusters. View a trailer for the book at: http://techtv.mit.edu/videos/22284-logistics-clusters-yossi-sheffi


Consonant Clusters and Structural Complexity

Consonant Clusters and Structural Complexity

Author: Philip Hoole

Publisher: Walter de Gruyter

Published: 2012-10-01

Total Pages: 416

ISBN-13: 1614510776

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There is currently a wealth of activity involving the analysis of complex segmental sequences from phonetic, phonological and psycholinguistic perspectives. This volume draws from selected contributions to the conference Consonant Clusters and Structural Complexity held in Munich in August 2008. Consonant sequences, whether occurring within individual lexical items or emerging in running speech at word boundaries, give particularly striking evidence for the temporal complexity of human speech. But contributions also consider the integration of tonal and vocalic elements into syllable structure. The main aim of the volume is to do justice to this complexity by bringing together researchers from a wide range of backgrounds. The book is organized into four main sections entitled ‘Phonology and Typology’, ‘Production: Analysis and Models’, ‘Acquisition’, and ‘Assimilation and reduction in connected speech’.


Highway to E.S.L.

Highway to E.S.L.

Author: Rik Ruiter

Publisher: iUniverse

Published: 2005

Total Pages: 371

ISBN-13: 0595342213

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In today's world, teaching English as a Second Language (E.S.L.) is big business. An expanding global communications network has made English the international language of choice. In Highway to E.S.L., authors Rik Ruiter and Pinky Dang provide an easy-to-understand guide, not only for individuals seeking a new and rewarding career teaching English, but also for experienced E.S.L. instructors who wish to improve their classroom skills. Written in a user-friendly format that includes detailed course planning and an appendix containing a variety of useful evaluation forms, Highway To E.S.L. supplies readers with valuable information on how to teach the different disciplines of English-a vital component to successful education in both domestic and international markets. Other key topics include: · Necessary teaching methodologies and approaches · Innovative personal teaching tips · Proficient classroom management · Troubleshooting common classroom problems · Efficient planning that utilizes timetables · Stimulating activity suggestions · Effective curriculum and lesson planning for grammar, reading, writing, listening, and speaking · Incorporating both conventional and non-conventional teaching resources in the classroom In Highway to E.S.L., Ruiter and Dang answer the common "who, where, when, what, why, and how" questions of both experienced and inexperienced E.S.L. teachers, providing teachers with the vital information needed to educate eager minds.


Data Clustering

Data Clustering

Author: Charu C. Aggarwal

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 654

ISBN-13: 1315360411

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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.