Kristian Sabo

Orcid: 0000-0002-1787-3161

According to our database1, Kristian Sabo authored at least 25 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Multiple spheres detection problem - Center based clustering approach.
Pattern Recognit. Lett., December, 2023

Minimal distance index - A new clustering performance metrics.
Inf. Sci., September, 2023

A new efficient method for solving the multiple ellipse detection problem.
Expert Syst. Appl., July, 2023

2021
A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem.
J. Glob. Optim., 2021

An existence criterion for the nonlinear ℓ <sub>p</sub>-norm fitting problem.
Central Eur. J. Oper. Res., 2021

A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem.
Adv. Data Anal. Classif., 2021

2020
DBSCAN-like clustering method for various data densities.
Pattern Anal. Appl., 2020

Incremental method for multiple line detection problem - iterative reweighted approach.
Math. Comput. Simul., 2020

Multiple Ellipse Detection by using RANSAC and DBSCAN Method.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2019
Application of the DIRECT algorithm to searching for an optimal k-partition of the set A ⊂ R<sup>n</sup> and its application to the multiple circle detection problem.
J. Glob. Optim., 2019

A Fast and Efficient Method for Solving the Multiple Closed Curve Detection Problem.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Spectral methods for growth curve clustering.
Central Eur. J. Oper. Res., 2018

Estimating the size of an object captured with error.
Central Eur. J. Oper. Res., 2018

2017
LeArEst: Length and Area Estimation from Data Measured with Additive Error.
R J., 2017

2015
An approach to cluster separability in a partition.
Inf. Sci., 2015

2014
Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters.
Knowl. Based Syst., 2014

Center-based l1-clustering method.
Int. J. Appl. Math. Comput. Sci., 2014

2013
One-dimensional center-based l 1-clustering method.
Optim. Lett., 2013

Approximating surfaces by the moving least absolute deviations method.
Appl. Math. Comput., 2013

2012
Application of growth functions in the prediction of live weight of domestic animals.
Central Eur. J. Oper. Res., 2012

2011
Searching for a Best Least Absolute Deviations Solution of an Overdetermined System of Linear Equations Motivated by Searching for a Best Least Absolute Deviations Hyperplane on the Basis of Given Data.
J. Optim. Theory Appl., 2011

2009
Three points method for searching the best least absolute deviations plane.
Appl. Math. Comput., 2009

Detection of Planar Surfaces Based on RANSAC and LAD Plane Fitting.
Proceedings of the 4th European Conference on Mobile Robots, 2009

2007
Estimating the width of a uniform distribution when data are measured with additive normal errors with known variance.
Comput. Stat. Data Anal., 2007

2006
A mathematical model of controlling the growth of tissue in pigs.
Appl. Math. Comput., 2006


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