Cluster
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Cluster
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Author : Piers Anthony
language : en
Publisher: Open Road Media
Release Date : 2014-04-01
Cluster written by Piers Anthony and has been published by Open Road Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-01 with Fiction categories.
First in the sci-fi series “packed with exotic beings, ancient secrets, and futuristic worlds” from the New York Times–bestselling author (The Portalist). 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 two hundred, 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 a member 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).
Constrained Clustering
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Author : Sugato Basu
language : en
Publisher: CRC Press
Release Date : 2008-08-18
Constrained Clustering written by Sugato Basu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-18 with Computers categories.
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints. Algorithms The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints. Theory It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees. Applications The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints. With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.
Robust Cluster Analysis And Variable Selection
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Author : Gunter Ritter
language : en
Publisher: CRC Press
Release Date : 2014-09-02
Robust Cluster Analysis And Variable Selection written by Gunter Ritter and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-02 with Computers categories.
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.
Shared Data Clusters
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Author : Dilip M. Ranade
language : en
Publisher: Wiley
Release Date : 2003-02-17
Shared Data Clusters written by Dilip M. Ranade and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-02-17 with Computers categories.
Clustering is a vital methodology in the data storage world. Its goal is to maximize cost-effectiveness, availability, flexibility, and scalability. Clustering has changed considerably for the better due to Storage Area Networks, which provide access to data from any node in the cluster. Explains how clusters with shared storage work and the components in the cluster that need to work together Reviews where a cluster should be deployed and how to use one for best performance Author is Lead Technical Engineer for VERITAS Cluster File Systems and has worked on clusters and file systems for the past ten years
The Random Cluster Model
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Author : Geoffrey R. Grimmett
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-13
The Random Cluster Model written by Geoffrey R. Grimmett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-13 with Mathematics categories.
The random-cluster model has emerged as a key tool in the mathematical study of ferromagnetism. It may be viewed as an extension of percolation to include Ising and Potts models, and its analysis is a mix of arguments from probability and geometry. The Random-Cluster Model contains accounts of the subcritical and supercritical phases, together with clear statements of important open problems. The book includes treatment of the first-order (discontinuous) phase transition.
High Performance Linux Clusters With Oscar Rocks Openmosix And Mpi
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Author : Joseph D Sloan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2004-11-16
High Performance Linux Clusters With Oscar Rocks Openmosix And Mpi written by Joseph D Sloan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-16 with Computers categories.
To the outside world, a "supercomputer" appears to be a single system. In fact, it's a cluster of computers that share a local area network and have the ability to work together on a single problem as a team. Many businesses used to consider supercomputing beyond the reach of their budgets, but new Linux applications have made high-performance clusters more affordable than ever. These days, the promise of low-cost supercomputing is one of the main reasons many businesses choose Linux over other operating systems.This new guide covers everything a newcomer to clustering will need to plan, build, and deploy a high-performance Linux cluster. The book focuses on clustering for high-performance computation, although much of its information also applies to clustering for high-availability (failover and disaster recovery). The book discusses the key tools you'll need to get started, including good practices to use while exploring the tools and growing a system. You'll learn about planning, hardware choices, bulk installation of Linux on multiple systems, and other basic considerations. Then, you'll learn about software options that can save you hours--or even weeks--of deployment time.Since a wide variety of options exist in each area of clustering software, the author discusses the pros and cons of the major free software projects and chooses those that are most likely to be helpful to new cluster administrators and programmers. A few of the projects introduced in the book include: MPI, the most popular programming library for clusters. This book offers simple but realistic introductory examples along with some pointers for advanced use. OSCAR and Rocks, two comprehensive installation and administrative systems openMosix (a convenient tool for distributing jobs), Linux kernel extensions that migrate processes transparently for load balancing PVFS, one of the parallel filesystems that make clustering I/O easier C3, a set of commands for administering multiple systems Ganglia, OpenPBS, and cloning tools (Kickstart, SIS and G4U) are also covered. The book looks at cluster installation packages (OSCAR & Rocks) and then considers the core packages individually for greater depth or for folks wishing to do a custom installation. Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.
Projection Based Clustering Through Self Organization And Swarm Intelligence
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Author : Michael Christoph Thrun
language : en
Publisher:
Release Date : 2020-10-08
Projection Based Clustering Through Self Organization And Swarm Intelligence written by Michael Christoph Thrun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with Computers categories.
This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Introduction To Microsoft Windows Nt Cluster Server
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Author : Raj Rajagopal
language : en
Publisher: CRC Press
Release Date : 1999-12-15
Introduction To Microsoft Windows Nt Cluster Server written by Raj Rajagopal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-12-15 with Computers categories.
Mastering cluster technology-the linking of servers-is becoming increasingly important for application and system programmers and network designers, administrators, and managers. With Microsoft's Windows NT cluster server being the first to tie cluster technology with a major operating system, it appears destined to take a leadership position in the industry. Introduction to Microsoft Windows NT Cluster Server provides all you need to know to develop your abilities for this essential technology. The author provides both introductory and advanced material focused on the three basic functions: fault tolerant computing (failover), load balancing, and centralized administration and monitoring. He guides the reader from the basics of cluster servers, through Microsoft's cluster server set-up, communication, programming, and administration. Written for professionals who are familiar with the Windows NT operating system and have programming experience, Introduction to Microsoft Windows NT Cluster Server contains information instrumental in helping you achieve zero downtime.
Clustering And Information Retrieval
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Author : Weili Wu
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-11-30
Clustering And Information Retrieval written by Weili Wu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-30 with Computers categories.
Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.
Generalized Density Based Clustering For Spatial Data Mining
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Author : Jörg Sander
language : en
Publisher: Herbert Utz Verlag
Release Date : 1999
Generalized Density Based Clustering For Spatial Data Mining written by Jörg Sander and has been published by Herbert Utz Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.