메뉴 건너뛰기




Volumn 8933, Issue , 2014, Pages 356-369

Efficient kNN algorithm based on graph sparse reconstruction

Author keywords

K Nearest Neighbors; Locality Preserving Projection; Reconstruction process; Sparse

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPH THEORY; MEAN SQUARE ERROR; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; REGRESSION ANALYSIS; SAMPLING;

EID: 84918804435     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-14717-8_28     Document Type: Article
Times cited : (30)

References (32)
  • 2
    • 1842665177 scopus 로고    scopus 로고
    • Jackknife variance estimation for nearest-neighbor imputation
    • Chen, J., Shao, J.: Jackknife variance estimation for nearest-neighbor imputation. Journal of the American Statistical Association 96(453), 260–269 (2001)
    • (2001) Journal of the American Statistical Association , vol.96 , Issue.453 , pp. 260-269
    • Chen, J.1    Shao, J.2
  • 3
    • 61849150502 scopus 로고    scopus 로고
    • K nearest neighbours with mutual information for simultaneous classification and missing data imputation
    • García-Laencina, P.J., Sancho-Gómez, J.-L., Figueiras-Vidal, A.R., Verleysen, M.: K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neurocomputing 72(7), 1483–1493 (2009)
    • (2009) Neurocomputing , vol.72 , Issue.7 , pp. 1483-1493
    • García-Laencina, P.J.1    Sancho-Gómez, J.-L.2    Figueiras-Vidal, A.R.3    Verleysen, M.4
  • 4
    • 84868113122 scopus 로고    scopus 로고
    • Possibilistic KNN regression using tolerance intervals
    • In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.), Springer, Heidelberg
    • Hamed, M.G., Serrurier, M., Durand, N.: Possibilistic KNN regression using tolerance intervals. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part III. CCIS, vol. 299, pp. 410–419. Springer, Heidelberg (2012)
    • (2012) IPMU 2012, Part III. CCIS , vol.299 , pp. 410-419
    • Hamed, M.G.1    Serrurier, M.2    Durand, N.3
  • 7
    • 34250704657 scopus 로고    scopus 로고
    • Semi-parametric optimization for missing data imputation
    • Qin, Y., Zhang, S., Zhu, X., Zhang, J., Zhang, C.: Semi-parametric optimization for missing data imputation. Applied Intelligence 27(1), 79–88 (2007)
    • (2007) Applied Intelligence , vol.27 , Issue.1 , pp. 79-88
    • Qin, Y.1    Zhang, S.2    Zhu, X.3    Zhang, J.4    Zhang, C.5
  • 8
    • 38049101112 scopus 로고    scopus 로고
    • Iknn: Informative k-nearest neighbor pattern classification
    • Kok, J.N.,Koronacki, J., Lopez deMantaras, R.,Matwin, S.,Mladenič, D., Skowron, A. (eds.), Springer, Heidelberg
    • Song, Y., Huang, J., Zhou, D., Zha, H., Giles, C.L.: Iknn: Informative k-nearest neighbor pattern classification. In: Kok, J.N.,Koronacki, J., Lopez deMantaras, R.,Matwin, S.,Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 248–264. Springer, Heidelberg (2007)
    • (2007) PKDD 2007. LNCS (LNAI) , vol.4702 , pp. 248-264
    • Song, Y.1    Huang, J.2    Zhou, D.3    Zha, H.4    Giles, C.L.5
  • 10
    • 3843055627 scopus 로고    scopus 로고
    • Efficient mining of both positive and negative association rules
    • Wu, X., Zhang, C., Zhang, S.: Efficient mining of both positive and negative association rules. ACM Transactions on Information Systems (TOIS) 22(3), 381–405 (2004)
    • (2004) ACM Transactions on Information Systems (TOIS) , vol.22 , Issue.3 , pp. 381-405
    • Wu, X.1    Zhang, C.2    Zhang, S.3
  • 11
    • 4644356822 scopus 로고    scopus 로고
    • Database classification for multi-database mining
    • Wu, X., Zhang, C., Zhang, S.: Database classification for multi-database mining. Information Systems 30(1), 71–88 (2005)
    • (2005) Information Systems , vol.30 , Issue.1 , pp. 71-88
    • Wu, X.1    Zhang, C.2    Zhang, S.3
  • 12
    • 0037339975 scopus 로고    scopus 로고
    • Synthesizing high-frequency rules from different data sources
    • Wu, X., Zhang, S.: Synthesizing high-frequency rules from different data sources. IEEE Transactions on Knowledge and Data Engineering 15(2), 353–367 (2003)
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.2 , pp. 353-367
    • Wu, X.1    Zhang, S.2
  • 13
    • 33947313355 scopus 로고    scopus 로고
    • A regression-based k nearest neighbor algorithm for gene function prediction from heterogeneous data
    • Yao, Z., Ruzzo, W.L.: A regression-based k nearest neighbor algorithm for gene function prediction from heterogeneous data. BMC Bioinformatics 7, S11 (2006)
    • (2006) BMC Bioinformatics , vol.7 , pp. S11
    • Yao, Z.1    Ruzzo, W.L.2
  • 14
    • 77955227108 scopus 로고    scopus 로고
    • Cost-sensitive classification with respect to waiting cost
    • Zhang, S.: Cost-sensitive classification with respect to waiting cost. Knowledge-Based Systems 23(5), 369–378 (2010)
    • (2010) Knowledge-Based Systems , vol.23 , Issue.5 , pp. 369-378
    • Zhang, S.1
  • 15
    • 77956295872 scopus 로고    scopus 로고
    • Estimating semi-parametric missing values with iterative imputation
    • Zhang, S.: Estimating semi-parametric missing values with iterative imputation. International Journal of Data Warehousing and Mining 6(3), 1–10 (2010)
    • (2010) International Journal of Data Warehousing and Mining , vol.6 , Issue.3 , pp. 1-10
    • Zhang, S.1
  • 16
    • 84857372439 scopus 로고    scopus 로고
    • KNN-CF approach: Incorporating certainty factor to knn classification
    • Zhang, S.: KNN-CF approach: Incorporating certainty factor to knn classification. IEEE Intelligent Informatics Bulletin 11(1), 24–33 (2010)
    • (2010) IEEE Intelligent Informatics Bulletin , vol.11 , Issue.1 , pp. 24-33
    • Zhang, S.1
  • 17
    • 79959375445 scopus 로고    scopus 로고
    • Shell-neighbor method and its application in missing data imputation
    • Zhang, S.: Shell-neighbor method and its application in missing data imputation. Applied Intelligence 35(1), 123–133 (2011)
    • (2011) Applied Intelligence , vol.35 , Issue.1 , pp. 123-133
    • Zhang, S.1
  • 18
    • 84857357329 scopus 로고    scopus 로고
    • Decision tree classifiers sensitive to heterogeneous costs
    • Zhang, S.: Decision tree classifiers sensitive to heterogeneous costs. Journal of Systems and Software 85(4), 771–779 (2012)
    • (2012) Journal of Systems and Software , vol.85 , Issue.4 , pp. 771-779
    • Zhang, S.1
  • 19
    • 84865249371 scopus 로고    scopus 로고
    • Nearest neighbor selection for iteratively kNN imputation
    • Zhang, S.: Nearest neighbor selection for iteratively kNN imputation. Journal of Systems and Software 85(11), 2541–2552 (2012)
    • (2012) Journal of Systems and Software , vol.85 , Issue.11 , pp. 2541-2552
    • Zhang, S.1
  • 20
    • 78951483757 scopus 로고    scopus 로고
    • Missing data imputation by utilizing information within incomplete instances
    • Zhang, S., Jin, Z., Zhu, X.: Missing data imputation by utilizing information within incomplete instances. Journal of Systems and Software 84(3), 452–459 (2011)
    • (2011) Journal of Systems and Software , vol.84 , Issue.3 , pp. 452-459
    • Zhang, S.1    Jin, Z.2    Zhu, X.3
  • 22
    • 0041428173 scopus 로고    scopus 로고
    • Post-mining: Maintenance of association rules by weighting
    • Zhang, S., Zhang, C., Yan, X.: Post-mining: maintenance of association rules by weighting. Information Systems 28(7), 691–707 (2003)
    • (2003) Information Systems , vol.28 , Issue.7 , pp. 691-707
    • Zhang, S.1    Zhang, C.2    Yan, X.3
  • 23
    • 85008015696 scopus 로고    scopus 로고
    • Generalized dimension-reduction framework for recent-biased time series analysis
    • Zhao, Y., Zhang, S.: Generalized dimension-reduction framework for recent-biased time series analysis. IEEE Transactions on Knowledge and Data Engineering 18(2), 231–244 (2006)
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.2 , pp. 231-244
    • Zhao, Y.1    Zhang, S.2
  • 25
    • 84897584700 scopus 로고    scopus 로고
    • Video-to-shot tag propagation by graph sparse group lasso
    • Zhu, X., Huang, Z., Cui, J., Shen, H.T.: Video-to-shot tag propagation by graph sparse group lasso. IEEE Transactions on Multimedia 15(3), 633–646 (2013)
    • (2013) IEEE Transactions on Multimedia , vol.15 , Issue.3 , pp. 633-646
    • Zhu, X.1    Huang, Z.2    Cui, J.3    Shen, H.T.4
  • 27
    • 84862798157 scopus 로고    scopus 로고
    • Dimensionality reduction by mixed kernel canonical correlation analysis
    • Zhu, X., Huang, Z., Shen, H.T., Cheng, J., Xu, C.: Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recognition 45(8), 3003–3016 (2012)
    • (2012) Pattern Recognition , vol.45 , Issue.8 , pp. 3003-3016
    • Zhu, X.1    Huang, Z.2    Shen, H.T.3    Cheng, J.4    Xu, C.5
  • 28
    • 84866033003 scopus 로고    scopus 로고
    • Self-taught dimensionality reduction on the high-dimensional small-sized data
    • Zhu, X., Huang, Z., Yang, Y., Shen, H.T., Xu, C., Luo, J.: Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recognition 46(1), 215–229 (2013)
    • (2013) Pattern Recognition , vol.46 , Issue.1 , pp. 215-229
    • Zhu, X.1    Huang, Z.2    Yang, Y.3    Shen, H.T.4    Xu, C.5    Luo, J.6
  • 30
    • 84903899707 scopus 로고    scopus 로고
    • A novel matrix-similarity based loss function for joint regression and classification in ad diagnosis
    • Zhu, X., Suk, H.-I., Shen, D.: A novel matrix-similarity based loss function for joint regression and classification in ad diagnosis. NeuroImage (2014)
    • (2014) NeuroImage
    • Zhu, X.1    Suk, H.-I.2    Shen, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.