In Search Of Clusters
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In Search Of Clusters
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Author : Gregory F. Pfister
language : en
Publisher: Prentice Hall
Release Date : 1998
In Search Of Clusters written by Gregory F. Pfister and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
A hardcore guide to parallel computing with clusters (groups of computers linked together to boost performance), this reference is by a leading expert in the field. Revised and updated to cover the latest architectures, the book features a light and approachable writing style described by a reviewer as "what would happen if "Dilbert" creator Scott Adams wrote a book on computer architecture".
In Search Of Clusters
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Author : Gregory F. Pfister
language : en
Publisher: Prentice Hall
Release Date : 1995
In Search Of Clusters written by Gregory F. Pfister and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This book covers the underlying hardware and software technologies and shows how clusters of small computers can match the performance of the most powerful supercomputers. It provides the background needed to understand the real issues involved in implementing parallel and distributing systems, plus an analysis of the various forms of clusters.
In Search Of Optimal Clusters Using Variable Neighborhood Search
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Author : Qian (Christa). Wang
language : en
Publisher:
Release Date : 2007
In Search Of Optimal Clusters Using Variable Neighborhood Search written by Qian (Christa). Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Cluster analysis categories.
Clustering And Information Retrieval
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Author : Weili Wu
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
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 2013-12-01 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.
The Dynamics Of Clusters And Innovation
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Author : Brigitte Preissl
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
The Dynamics Of Clusters And Innovation written by Brigitte Preissl 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 2013-04-17 with Business & Economics categories.
Innovation is the motor of economic change. Over the last fifteen years, researches in innovation processes have emphasised the systemic features of innovation. Whilst innovation system analysis traditionally takes a static institutional approach, cluster analysis focuses on interaction and the dynamics of technology and innovation. First, the volume gives an overview of the different levels of analysis from which the innovation behaviour of firms has been observed in the past. The book then presents a distinct cluster approach as a useful and innovative tool to analyse the configuration and dynamics of networks of actors involved in innovative processes. This approach emphasises the possibilities of enhancing cluster benefits by introducing virtual links between cluster actors. Empirical evidence is provided for the automotive components and the telecommunication industries. By restricting the discussion to Germany and Italy, the authors are able to explore the role that national innovation systems play as a framework in which clusters operate.
Algorithms For Fuzzy Clustering
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Author : Sadaaki Miyamoto
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-15
Algorithms For Fuzzy Clustering written by Sadaaki Miyamoto 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 2008-04-15 with Computers categories.
Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.
Shared Data Clusters
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Author : Dilip M. Ranade
language : en
Publisher: John Wiley & Sons
Release Date : 2003-02-17
Shared Data Clusters written by Dilip M. Ranade and has been published by John Wiley & Sons 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
Optimizing Web Search Results For Image K Means Clustering Algorithm
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Author : Priyanka Nandal
language : en
Publisher: GRIN Verlag
Release Date : 2021-02-18
Optimizing Web Search Results For Image K Means Clustering Algorithm written by Priyanka Nandal and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-18 with Computers categories.
Academic Paper from the year 2020 in the subject Computer Science - Technical Computer Science, grade: 9.5, , language: English, abstract: This paper deals with a way to optimize the search results for image searches by proposing a K-means clustering algorithm. The proposed framework attempts to optimize image search results by adopting a vectorization method which involves textual features extraction and then applying a K-means clustering algorithm to group similar images into a cluster. Hence, the aim is to develop a method that can handle a query term in a reasonably short time and return the results with higher accuracy. With each passing day, the amount of visual information on the internet, such as videos and images, is growing rapidly at an alarming rate, thereby making it difficult for a user to search for the necessary content. Users need to spend vast amounts of time in shifting through an extensive list of search results until they can find the required relevant information. To resolve this problem and to provide better image retrieval results to a user, a clustering framework is suggested in this paper. Cluster Analysis or Clustering is a concept which defines the discipline of grouping similar objects or data items into clusters. A cluster is said to be a collection of data objects. These formed clusters of similar data items differ in characteristics and features. Hence, Clustering can be defined as a solution for classifying web search results effectively for searching data items. Clustering allows users to identify their required group at a glance by looking at the cluster labels. Hence, it saves time while searching on the internet.
Complexity And Industrial Clusters
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Author : Alberto Quadrio Curzio
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Complexity And Industrial Clusters written by Alberto Quadrio Curzio 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 2012-12-06 with Business & Economics categories.
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.
Self Organizing Parallel Search Clusters
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Author : Andreu Masferrer Pino
language : es
Publisher:
Release Date : 2005
Self Organizing Parallel Search Clusters written by Andreu Masferrer Pino and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.