Data Analysis & Location Theory
1. Y.
Levin and A. B-I, An Estimation Algorithm using Distance Clustering of Data,
OPSEARCH 38(2001), 443-455
2. A. B-I et al, A
Geometry of Data Sets, lecture at the Haifa Conference on Matrix
Theory, Jan 2005
3. A. B-I and Y.
Levin, The Geometry of Linear
Separability in Data Sets, Lin. Algeb. and Appl. 416(2006),
75-87
4. A. B-I and C.
Iyigun, Probabilistic Distance Clustering, J.
Classification 25(2008), 5-26
5. A. B-I and C.
Iyigun, Probabilistic Distance
Clustering, Lecture at the Dept. of Mathematics & Statistics,
University of Tampere, Finland, November
2007
6. C. Iyigun and
A. B-I, Probabilistic Distance Clustering adjusted for
Cluster Size, Probability in Engineering and Informational Sciences
22(2008), 1-19
7. C. Iyigun and
A. B-I, Probabilistic Distance
Clustering, Algorithm and Applications, Chapter 2, Clustering
Challenges in Biological Networks, S. Butenko, W.A. Chaovalitwongse and
P.M. Pardalos (Editors), World Scientific, Singapore, 2009, ISBN-13
978-981-277-165-0
8. C. Iyigun, Probabilistic Distance Clustering,
Ph.D. thesis in Operations Research, Rutgers University, November 2007
9. C. Iyigun and A. B-I, Contour Approximation of Data: A Duality
Theory, Lin. Algeb. and Appl. 430(2009), 2771-2780
10. C. Iyigun
and A. B-I, Semi-Supervised
Probabilistic Distance Clustering and the Uncertainty of Classification, pp. 3-20 in Advances in Data
Analysis, Data Handling and Business Intelligence, A. Fink, B. Lausen,
W. Seidel and A. Ultsch (Editors), Studies in Classification, Data Analysis and
Knowledge Organization, Springer 2010, ISBN 978-3-642-01043-9
11. A. B-I and C. Iyigun, Clustering, Classification and Contour
Approximation of Data, Biomedica
12. C. Iyigun and A. B-I, A
Generalized Weiszfeld Method for the Multi-Facility Location Problem, O.R.
Letters 38(2010), 207-214
