Conferences related to Clustering algorithms

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2014 IEEE International Conference On Cluster Computing (CLUSTER)

IEEE Cluster is the main conference on all aspects of cluster computing for computational science

  • 2013 IEEE International Conference on Cluster Computing (CLUSTER)

    The conference will put special focus on campus clusters as the core of the cyberinfrastructure strategy and also campus bridging. Major topics: Systems design/configuration, tools, software, middleware, alogrithms, applications, storage.

  • 2012 IEEE International Conference on Cluster Computing (CLUSTER)

    Systems Design and Configuration Tools, Systems Software, and Middleware Algorithms, Applications and Performance Storage and File Systems

  • 2011 IEEE International Conference on Cluster Computing (CLUSTER)

    Major topics of interest include, but are not limited to: Systems Design and Configuration; Tools, Systems Software, and Middleware; Algorithms, Applications and Performance; Storage and File Systems

  • 2010 IEEE International Conference on Cluster Computing (CLUSTER)

    Cluster2010 welcomes original unpublished paper and poster submissions from researchers in academia, industry, and government, describing innovative research in the field of cluster and high-performance computing.

  • 2009 IEEE International Conference on Cluster Computing (CLUSTER)

    Cluster 2009 welcomes paper and poster submissions on innovative work from researchers in academia, industry, and government, describing original research in the field of cluster computing.


2013 8th International Conference on Computer Engineering & Systems (ICCES)

This conference is the 9th of its series, it aims at gathering academia and industry to present the latest research in computer engineering and systems.

  • 2012 Seventh International Conference on Computer Engineering & Systems (ICCES)

    his conference gathers universities and research centers to present the latest findings in computer engineering and systems.

  • 2011 International Conference on Computer Engineering & Systems (ICCES)

    This conference gathers universities and research centers to present the latest findings in computer engineering and systems.

  • 2010 International Conference on Computer Engineering & Systems (ICCES)

    1. Computer Architecture and Computer Aided Design 2. Embedded Systems & HW/SW Co-Design 3. Networks on Chip, Systems on Chip 4. Computer Networks and Security 5. Mobile and Ubiquitous Computing 6. Quantum Computing and Information 7. Software and Web Engineering 8. Multimedia and Web Applications 9. Data Base and Data Mining 10. Signal Processing 11. Modeling and Simulation 12. Control Systems and Robotics 13. Artificial Intelligence and Evolutionary Computing 14. Reliability and Fault Tole

  • 2009 International Conference on Computer Engineering & Systems (ICCES)

    The aim of this conference is to gather the researchers from academia and industry in Computer Engineering to discuss the recent developments and progress in this field. Conference tracks are: 1. Computer Architecture and Computer Aided Design 2. Embedded Systems & HW/SW Co-Design 3. Networks on Chip, Systems on Chip 4. Computer Networks and Security 5. Mobile and Ubiquitous Computing 6. Quantum Computing and Information 7. Software and Web Engineering 8. Multimedia and Web Applications 9. Datab


2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)

Information reuse and integration (IRI) seeks to maximally exploit available digital information to create new knowledge and to reuse it for addressing newer challenges.

  • 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2011 IEEE International Conference on Information Reuse & Integration (IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2010 IEEE International Conference on Information Reuse & Integration (2010 IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.


2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)

Grey Systems Theory and Practical Applications, Uncertain Systems, Service Science, Systems Analysis, Modeling and Simulation, Forecasting and Decision Making, Emergency and Risk Management, Technical Innovation Management

  • 2011 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2011)

    2011 IEEE International Conference on Grey Systems and Intelligent Services (GSIS'2011) focuses on current research on grey theory, systems, and rapidly advancing technologies in business improvement, business process automation, information management, and intelligent services.

  • 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)

    The 2009 IEEE International Conference on Grey Systems and Intelligent Services(IEEE GSIS 2009) focuses on current research on systems theory, grey systems, rapidly advancing technologies in service sciences, emergency and risk management. IEEE GSIS 2009 invites researchers to present current research findings and practical experiences from the wide community which is now involved in Systems Analysis, Modeling and Simulation, Forecasting and Decision Making, Grey Systems Theory and Practical Applications.


2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

2013 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013) will bring together scientists, engineers and students from around the world to discuss the latest advances in the field of computational intelligence applied to issues in data and process mining. This conference will provide a forum for the presentation of recent results in data mining algorithms, applications, software and data and process mining systems.


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Xplore Articles related to Clustering algorithms

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A study of density-grid based clustering algorithms on data streams

Amini, A.; Teh Ying Wah; Saybani, M.R.; Yazdi, S.R.A.S. Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on , 2011

Clustering data streams attracted many researchers since the applications that generate data streams have become more popular. Several clustering algorithms have been introduced for data streams based on distance which are incompetent to find clusters of arbitrary shapes and cannot handle the outliers. Density- based clustering algorithms are remarkable not only to find arbitrarily shaped clusters but also to deal ...


Landscape of clustering algorithms

Jain, A.K.; Topchy, A.; Law, M.H.C.; Buhmann, J.M. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on , 2004

Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delivered by these algorithms exhibit many commonalities. An analysis of the similarity and properties of clustering objective functions is necessary from the operational/user perspective. We revisit conventional categorization of clustering algorithms and attempt to relate them according to the ...


A Survey of Distributed Clustering Algorithms

Mo Hai; Shuyun Zhang; Lei Zhu; Yue Wang Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on , 2012

Clustering is to divide a set of objects into multiple classes, and each class is made up of similar objects. Traditional centralized clustering algorithms cluster objects stored in a single site, but it cannot satisfy the clustering requirements when objects are distributed. Distributed clustering algorithms can satisfy this need, which extracts a classification mode from distributed objects. This paper classifies ...


Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis

Kashef, R.; Kamel, M.S. Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on , 2007

Clustering techniques organize a collection of objects into cohesive groups called clusters such that objects in the same cluster are more similar to each other than objects in different clusters. There are many clustering approaches proposed in the literature with different quality/complexity tradeoffs. Combining multiple clustering is an approach to overcome the deficiency of single algorithms and further enhance their ...


Improving of Initial Clusters Fitness in Genetic Guided-Clustering Ensembles

Ghaemi, R.; Sulaiman, M.; Mustapha, N.; Ibrahim, H. Information Technology: New Generations (ITNG), 2010 Seventh International Conference on , 2010

The clustering ensemble is a new topic in machine learning. It can combine multiple partitions generated by different clustering algorithms into a single clustering solution. Genetic algorithms have been known as methods with high ability to find the solution of optimization problems like the clustering ensemble problem. So far, many contributions have been done to find consensus cluster partition by ...


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Jobs related to Clustering algorithms

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Educational Resources on Clustering algorithms

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eLearning

Fuzzy Cluster Analysis in Very Large Data Sets

Bezdek, James C. Fuzzy Cluster Analysis in Very Large Data Sets , 2009

This last module in the series discusses just one approach to the interesting and important problem of clustering in very large (VL) data. The target audience is graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or applications of clustering applied to very large real world problems that occur in data mining, ...


A Primer on Cluster Analysis

Bezdek, James C. A Primer on Cluster Analysis , 2008

This course- the first in a series of three - provides a foundation for understanding the field of cluster analysis in unlabeled data. The target audience for this course comprises undergraduate and graduate students majoring in engineering and science, as well as practicing engineers and scientists interested in either research about or applications of clustering to real world problems such ...


Tendency Assessment and Cluster Validity

Bezdek, James C. Tendency Assessment and Cluster Validity , 2008

This course - the second in a series of three - discusses several approaches to the first and third problems of clustering identified in module I - viz., pre-clustering tendency assessment and post-clustering cluster validation. The target audience comprises advanced undergraduate and graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or ...


Methods & Models of Collaborative Computational Intelligence

Pedrycz, Witold Methods & Models of Collaborative Computational Intelligence , 2009

There are rapidly emerging needs to deal with distributed sources of data (sensors and sensor networks, web sites, databases). While recognizing their limited accessibility at a global level (associated with technical constraints and/or privacy issues) and fully acknowledging benefits of collaborative processing, we propose a concept of Collaborative Computational Intelligence (CI), and collaborative fuzzy models, in particular. The variety of ...


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Standards related to Clustering algorithms

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Periodicals related to Clustering algorithms

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Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Software Engineering, IEEE Transactions on

Specification, development, management, test, maintenance, and documentation of computer software.


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...







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