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- Publications
- Influence

A generalized Weiszfeld method for the multi-facility location problem

- C. Iyigun, A. Ben-Israel
- Computer Science, Mathematics
- Oper. Res. Lett.
- 1 May 2010

An iterative method is proposed for the K facilities location problem. The problem is relaxed using probabilistic assignments, depending on the distances to the facilities. The probabilities, that… Expand

Comparison of missing value imputation methods in time series: the case of Turkish meteorological data

- Ceylan Yozgatligil, S. Aslan, C. Iyigun, Inci Batmaz
- Mathematics
- Theoretical and Applied Climatology
- 1 April 2013

This study aims to compare several imputation methods to complete the missing values of spatio–temporal meteorological time series. To this end, six imputation methods are assessed with respect to… Expand

Probabilistic D-Clustering

- A. Ben-Israel, C. Iyigun
- Computer Science, Mathematics
- J. Classif.
- 1 June 2008

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of cluster membership at any… Expand

Clustering-Based Methodology for Determining Optimal Roadway Configuration of Detectors for Travel Time Estimation

The problem of finding the optimal roadway segment configuration for road-based surveillance technologies to estimate route travel times accurately is addressed. This problem is inherently a space… Expand

Clustering current climate regions of Turkey by using a multivariate statistical method

- C. Iyigun, M. Türkeș, +4 authors M. Öztürk
- Mathematics
- Theoretical and Applied Climatology
- 3 January 2013

In this study, the hierarchical clustering technique, called Ward method, was applied for grouping common features of air temperature series, precipitation total and relative humidity series of 244… Expand

A genetic algorithm for the uncapacitated single allocation planar hub location problem

- H. Damgacioglu, Derya Dinler, Nur Evin Özdemirel, C. Iyigun
- Computer Science, Mathematics
- Comput. Oper. Res.
- 1 October 2015

Given a set of n interacting points in a network, the hub location problem determines location of the hubs (transfer points) and assigns spokes (origin and destination points) to hubs so as to… Expand

Probabilistic Distance Clustering

- C. Iyigun
- Mathematics
- 15 February 2011

Probabilistic distance clustering is an iterative method for probabilistic clustering of data. Given clusters, their centers, and the distances of data points from these centers, the probability of… Expand

Probabilistic distance clustering adjusted for cluster size

- C. Iyigun, Adi Ben-Israel
- Mathematics
- 1 October 2008

The probabilistic distance clustering method of works well if the cluster sizes are approximately equal. We modify that method to deal with clusters of arbitrary size and for problems where the… Expand

Probabilistic programming models for traffic incident management operations planning

- K. Özbay, C. Iyigun, Melike Baykal-Gursoy, W. Xiao
- Mathematics, Computer Science
- Ann. Oper. Res.
- 1 March 2013

This paper proposes mathematical programming models with probabilistic constraints in order to address incident response and resource allocation problems for the planning of traffic incident… Expand

The planar hub location problem: a probabilistic clustering approach

- C. Iyigun
- Mathematics, Computer Science
- Ann. Oper. Res.
- 1 June 2013

Given the demand between each origin-destination pair on a network, the planar hub location problem is to locate the multiple hubs anywhere on the plane and to assign the traffic to them so as to… Expand