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Volumn , Issue , 2012, Pages

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; BENCHMARK DATA; BHATTACHARYYA DISTANCE; CLUSTER STRUCTURE; DATA MATRICES; DISSIMILARITY MEASURES; FOCAL DISTANCES; HIGHER-DIMENSIONAL; OPTIMAL PARTITIONS; SECOND ORDERS; SENSOR MEASUREMENTS; SINGLE LINKAGE; SINGLE LINKAGE ALGORITHMS; VISUAL ASSESSMENTS; WIRELESS SENSOR NETWORK (WSNS);

EID: 84865105374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252703     Document Type: Conference Paper
Times cited : (8)

References (27)
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    • (2009) Security in Ad-hoc and Sensor Networks , pp. 231-260
    • Rajasegarar, S.1    Leckie, C.2    Palaniswami, M.3
  • 2
    • 77955684744 scopus 로고    scopus 로고
    • Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks
    • S. Rajasegarar, C. Leckie, J. C. Bezdek, and M. Palaniswami, "Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks," IEEE IFS, vol. 5, no. 3, pp. 518-533, 2010.
    • (2010) IEEE IFS , vol.5 , Issue.3 , pp. 518-533
    • Rajasegarar, S.1    Leckie, C.2    Bezdek, J.C.3    Palaniswami, M.4
  • 4
    • 76749157891 scopus 로고    scopus 로고
    • Ellipsoidal decision regions for motif-based patterned fabric defect detection
    • H. Ngan, G. K. H. Pang, and N. H. C. Yung, "Ellipsoidal decision regions for motif-based patterned fabric defect detection," Patt. recog., vol. 43, pp. 2132-2144, 2010.
    • (2010) Patt. Recog. , vol.43 , pp. 2132-2144
    • Ngan, H.1    Pang, G.K.H.2    Yung, N.H.C.3
  • 10
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    • On a measure of divergence between two statistical populations defined by their probability distrib
    • A. Bhattacharyya, "On a measure of divergence between two statistical populations defined by their probability distrib.," Bull. Calcutta Math. Soc., vol. 35, pp. 99-109, 1943.
    • (1943) Bull. Calcutta Math. Soc. , vol.35 , pp. 99-109
    • Bhattacharyya, A.1
  • 16
    • 84865083349 scopus 로고    scopus 로고
    • An efficient formulation of the improved visual assessment of tendency (iVAT] algorithm
    • in press
    • T. C. Havens and J. C. Bezdek, "An efficient formulation of the improved visual assessment of tendency (iVAT] algorithm," in press, IEEE TKDE,2010.
    • (2010) IEEE TKDE
    • Havens, T.C.1    Bezdek, J.C.2
  • 17
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    • GBROOS, 2011. http://data.aims.gov.au/gbroos/.
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  • 18
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    • S. Rajasegarar, A. Shilton, C. Leckie, R. Kotagiri, and M. Palaniswami, "Distributed training of multiclass conic-segmentation support vector machines on communication constrained networks," in Proc. of the ISSNIP, (Brisbane,Australia), pp. 211-216, Dec 2010.
    • (2010) Proc. of the ISSNIP , pp. 211-216
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.