Clustering constrained symbolic dataDE A. T. DE CARVALHO, Francisco; CSERNEL, Marc; LECHEVALLIER, Yves et al.Pattern recognition letters. 2009, Vol 30, Num 11, pp 1037-1045, issn 0167-8655, 9 p.Article

A Heterogeneous High-Dimensional Approximate Nearest Neighbor AlgorithmDUBINER, Moshe.IEEE transactions on information theory. 2012, Vol 58, Num 10, pp 6646-6658, issn 0018-9448, 13 p.Article

Belief updating in Bayesian networks by using a criterion of minimum timeGALAN, S. F.Pattern recognition letters. 2008, Vol 29, Num 4, pp 465-482, issn 0167-8655, 18 p.Article

Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas-liquid flowsROSA, E. S; SALGADO, R. M; OHISHI, T et al.International journal of multiphase flow. 2010, Vol 36, Num 9, pp 738-754, issn 0301-9322, 17 p.Article

On scheduling and clustering in hierarchical TH-PPM UWB wireless ad hoc networksYANG LIU; KWOK, Yu-Kwong; JIANGZHOU WANG et al.Journal of supercomputing. 2008, Vol 46, Num 1, pp 58-83, issn 0920-8542, 26 p.Article

RCA: Efficient connected dominated clustering algorithm for mobile ad hoc networksHASSAN, Dina S. M; FAHMY, Hossam M. A; BAHAA-ELDIN, Ayman M et al.Computer networks (1999). 2014, Vol 75, pp 177-191, issn 1389-1286, 15 p., aArticle

An algorithm based on density and compactness for dynamic overlapping clusteringPEREZ-SUAREZ, Airel; MARTINEZ-TRINIDAD, José Fco; CARRASCO-OCHOA, Jesús A et al.Pattern recognition. 2013, Vol 46, Num 11, pp 3040-3055, issn 0031-3203, 16 p.Article

Data structure-guided development of electrocardiographic signal characterization and classificationGACEK, Adam.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 3, pp 197-204, issn 0933-3657, 8 p.Article

Energy-efficient clustering in lossy wireless sensor networksDAWEI GONG; YUANYUAN YANG; ZHEXI PAN et al.Journal of parallel and distributed computing (Print). 2013, Vol 73, Num 9, pp 1323-1336, issn 0743-7315, 14 p.Article

Cross-situational learning of object-word mapping using Neural Modeling FieldsFONTANARI, José F; TIKHANOFF, Vadim; CANGELOSI, Angelo et al.Neural networks. 2009, Vol 22, Num 5-6, pp 579-585, issn 0893-6080, 7 p.Conference Paper

Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networksYIHUI LI; GAOXI XIAO; SINGH, Gurpreet et al.Wireless networks. 2013, Vol 19, Num 7, pp 1755-1768, issn 1022-0038, 14 p.Article

A novel soft cluster neural network for the classification of suspicious areas in digital mammogramsVERMA, Brijesh; MCLEOD, Peter; KLEVANSKY, Alan et al.Pattern recognition. 2009, Vol 42, Num 9, pp 1845-1852, issn 0031-3203, 8 p.Article

Automatic clustering and boundary detection algorithm based on adaptive influence functionNOSOVSKIY, Gleb V; DONGQUAN LIU; SOURINA, Olga et al.Pattern recognition. 2008, Vol 41, Num 9, pp 2757-2776, issn 0031-3203, 20 p.Article

Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-upFARAJIDAVAR, Aydin; SAEB, Sohrab; BEHBEHANI, Khosrow et al.Neural networks. 2008, Vol 21, Num 2-3, pp 250-256, issn 0893-6080, 7 p.Conference Paper

Clustering-Based Multichannel MAC Protocols for QoS Provisionings Over Vehicular Ad Hoc Networks : Vehicular communication networksHANG SU; XI ZHANG.IEEE transactions on vehicular technology. 2007, Vol 56, Num 6, pp 3309-3323, issn 0018-9545, 15 p., 1Article

A survey on clustering algorithms for wireless sensor networksAMEER AHMED ABBASI; YOUNIS, Mohamed.Computer communications. 2007, Vol 30, Num 14-15, pp 2826-2841, issn 0140-3664, 16 p.Article

Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje SystemCETINGÜL, Hasan E; PLANK, Gernot; TRAYANOVA, Natalia A et al.IEEE transactions on biomedical engineering. 2011, Vol 58, Num 6, pp 1762-1772, issn 0018-9294, 11 p.Article

Instrumentation, data evaluation and quantification in on-line aerosol mass spectrometryHINZ, Klaus-Peter; SPENGLER, Bernhard.Journal of mass spectrometry. 2007, Vol 42, Num 7, pp 843-860, issn 1076-5174, 18 p.Article

Multivariate statistical analysis of large-scale IgE antibody measurements reveals allergen extract relationships in sensitized individualsSOERIA-ATMADJA, Daniel; ONELL, Annica; KOBER, Anita et al.Journal of allergy and clinical immunology. 2007, Vol 120, Num 6, pp 1433-1440, issn 0091-6749, 8 p.Article

GAC-GEO: a generic agglomerative clustering framework for geo-referenced datasetsJIAMTHAPTHAKSIN, Rachsuda; EICK, Christoph F; LEE, Seungchan et al.Knowledge and information systems (Print). 2011, Vol 29, Num 3, pp 597-628, issn 0219-1377, 32 p.Article

Partitioning hard clustering algorithms based on multiple dissimilarity matricesDE CARVALHO, Francisco De A. T; LECHEVALLIER, Yves; DE MELO, Filipe M et al.Pattern recognition. 2012, Vol 45, Num 1, pp 447-464, issn 0031-3203, 18 p.Article

To combine steady-state genetic algorithm and ensemble learning for data clusteringYI HONG; KWONG, Sam.Pattern recognition letters. 2008, Vol 29, Num 9, pp 1416-1423, issn 0167-8655, 8 p.Article

A novel kernel method for clusteringCAMASTRA, Francesco; VERRI, Alessandro.IEEE transactions on pattern analysis and machine intelligence. 2005, Vol 27, Num 5, pp 801-805, issn 0162-8828, 5 p.Article

Space-contracting, space-dilating, and positive admissible clustering algorithmsZHEMIN CHEN; VAN NESS, J. W.Pattern recognition. 1994, Vol 27, Num 6, pp 853-857, issn 0031-3203Article

KABOOM! A new suffix array based algorithm for clustering expression dataHAZELHURST, Scott; LIPTAK, Zsuzsanna.Bioinformatics (Oxford. Print). 2011, Vol 27, Num 24, pp 3348-3355, issn 1367-4803, 8 p.Article