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Volumn 393, Issue 1-3, 2004, Pages 107-126

On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices

Author keywords

Nonnegative matrix factorization; Nonnegative symmetric matrix

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FUNCTIONS; NUMERICAL METHODS; PROBLEM SOLVING; SET THEORY;

EID: 7444224120     PISSN: 00243795     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.laa.2003.11.024     Document Type: Article
Times cited : (49)

References (16)
  • 2
    • 7444251312 scopus 로고
    • Sur les matrices hypohermitiennes et les unitairs
    • Autonne L. Sur les matrices hypohermitiennes et les unitairs. Compt. Rend. Acad. Sci. 156:1913;858-860.
    • (1913) Compt. Rend. Acad. Sci. , vol.156 , pp. 858-860
    • Autonne, L.1
  • 5
    • 0042858528 scopus 로고    scopus 로고
    • Orthogonal bases which lead to symmetric nonnegative bases
    • Elsner L., Nabben R., Neumann M. Orthogonal bases which lead to symmetric nonnegative bases. Linear Algebra Appl. 271:1998;323-343.
    • (1998) Linear Algebra Appl. , vol.271 , pp. 323-343
    • Elsner, L.1    Nabben, R.2    Neumann, M.3
  • 6
    • 0001930482 scopus 로고
    • Matrix nearest problems and applications
    • M. Gover, & S. Barnett. Oxford University Press
    • Higham N.J. Matrix nearest problems and applications. Gover M., Barnett S. Applications of Matrix Theory. 1989;1-27 Oxford University Press.
    • (1989) Applications of Matrix Theory , pp. 1-27
    • Higham, N.J.1
  • 7
    • 84899021859 scopus 로고    scopus 로고
    • Unsupervised learning by convex and conic coding
    • Lee D.D., Seung H.S. Unsupervised learning by convex and conic coding. Adv. Neural Inf. Process. Syst. 9:1997;515-521.
    • (1997) Adv. Neural Inf. Process. Syst. , vol.9 , pp. 515-521
    • Lee, D.D.1    Seung, H.S.2
  • 8
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of the objects by non-negative matrix factorization
    • Lee D.D., Seung H.S. Learning the parts of the objects by non-negative matrix factorization. Nature. 401:1999;788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 12
    • 0030954231 scopus 로고    scopus 로고
    • Least squares formulation of robust non-negative factor analysis
    • Paatero P. Least squares formulation of robust non-negative factor analysis. Chemom. Intell. Lab. 37:1997;23-35.
    • (1997) Chemom. Intell. Lab. , vol.37 , pp. 23-35
    • Paatero, P.1
  • 13
    • 0028561099 scopus 로고
    • Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
    • Paatero P., Tapper U. Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values. Environmetrics. 5:1994;111-126.
    • (1994) Environmetrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 14
    • 84898965722 scopus 로고    scopus 로고
    • Multiplicative updates for classification by mixture models
    • Saul L., Lee D. Multiplicative updates for classification by mixture models. Adv. Neural Inf. Process. Syst. 14:2002.
    • (2002) Adv. Neural Inf. Process. Syst. , vol.14
    • Saul, L.1    Lee, D.2
  • 15
    • 34250957105 scopus 로고
    • Zur Theorie der linearen und nichtlinearen Integralgleichungen. I Tiel. Entwicklung willkürlichen Funktionen nach System Vorgeschriebener
    • Schmidt E. Zur Theorie der linearen und nichtlinearen Integralgleichungen. I Tiel. Entwicklung willkürlichen Funktionen nach System Vorgeschriebener. Math. Ann. 63:1907;433-476.
    • (1907) Math. Ann. , vol.63 , pp. 433-476
    • Schmidt, E.1
  • 16
    • 0002905146 scopus 로고
    • Constructing symmetric nonnegative matrices
    • Soules G.W. Constructing symmetric nonnegative matrices. Linear and Multilinear Algebra. 13:1983;241-251.
    • (1983) Linear and Multilinear Algebra , vol.13 , pp. 241-251
    • Soules, G.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.