29,732 resources 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 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.
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.
ISPA-12 follows the traditions of previous successful ISPA conferences, ISPA-03 (Aizu, Japan), ISPA-04 (Hong Kong), ISPA-05 (Nanjing, China), ISPA-06 (Sorrento, Italy), ISPA-07 (Niagara Falls, Canada) and ISPA-08 (Sydney, Australia), ISPA-09 (Chengdu, China), ISPA-10 (Taipei, Taiwan), ISPA-11 (Busan, Korea). The objective of ISPA 2012 is to provide a forum for scientists and engineers in academia and industry to exchange and discuss their experiences, new ideas, research results, and applications about all aspects of parallel and distributed computing and networking. It will feature session presentations, workshops, tutorials, and keynote speeches. ISPA-12 is sponsored by IEEE Technical Committee on Scalable Computing (TCSC) and IEEE Computer Society.
2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so 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; ...
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 ...
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, ...
Specification, development, management, test, maintenance, and documentation of computer software.
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, ...
Enami, N.; Moghadam, R.A.; Ahmadi, K.D. Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on, 2010
This paper presents a new cluster based routing protocol for Wireless Sensor Networks called Energy Based Clustering Self organizing map (EBCS). This new protocol can cluster sensor nodes based on multiple parameters; their energy level and coordinates, through using Self Organizing Map neural network capability in multi dimensional data clustering. Energy based clustering can form energy balanced clusters in order ...
Hong Lin; Rushing, J.; Graves, S.; Criswell, E. Wireless Algorithms, Systems and Applications, 2007. WASA 2007. International Conference on, 2007
A distributed search based data fusion algorithm is presented for target detections in large heterogeneous sensor networks. A score function is introduced as the objection function during the optimal search. The network state is determined when the score is the highest. A close to optimal solution can be obtained before the arrival of the next sensor data thus enabling real ...
Min Song; Bei He Wireless Algorithms, Systems and Applications, 2007. WASA 2007. International Conference on, 2007
Wireless sensor networks are often divided into clusters to gain high- performance and prolong network lifetime. In this paper we analyze the network capacity of two different architectures, named flat sensor network and clustered sensor network. For each network, we first define the network model and then analyze the network capacity and the factors that affect the capacity. Numerical results ...
Shin-Chou Juan; Chen-Yi Lee Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on, 1998
Side-match VQ (SMVQ) is a well-known class of FSVQ used for low-bit rate image/video coding. It exploits the spatial correlation between the neighboring blocks to select several codewords that are very close to the encoding block from the master codebook. But if the block boundary is in the region edge area, the spatial correlations are not high and the SMVQ ...
Sirampuj, T.; Kangkachit, T.; Waiyamai, K. Computer Science and Software Engineering (JCSSE), 2013 10th International Joint Conference on, 2013
Large number of stream clustering techniques have been proposed in recent years. However, these techniques still lack of using background knowledge which are available from domain expert. In this paper, CE-Stream, an incremental method for stream clustering by using background knowledge as constraints is proposed. Instance-level constraint operators are introduced to support evolving characteristics of dynamic constraints i.e. constraint activation, ...
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