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
13. C. Iyigun and A. B-I, The
Multi-Facility Location Problem: A Probabilistic Decomposition Method,
to appear
