loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Evgenia Suzdaleva 1 ; Ivan Nagy 2 ; Pavla Pecherková 2 and Raissa Likhonina 1

Affiliations: 1 The Institute of Information Theory and Automation of the Czech Academy of Sciences, Czech Republic ; 2 The Institute of Information Theory and Automation of the Czech Academy of Sciences, Faculty of Transportation Sciences and Czech Technical University, Czech Republic

Keyword(s): Mixture-based Clustering, Recursive Mixture Estimation, Uniform Components, Bayesian Estimation.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; System Identification ; System Modeling

Abstract: The paper deals with a task of initialization of the recursive mixture estimation for the case of uniform components. This task is significant as a part of mixture-based clustering, where data clusters are described by the uniform distributions. The issue is extensively explored for normal components. However, sometimes the assumption of normality is not suitable or limits potential application areas (e.g., in the case of data with fixed bounds). The use of uniform components can be beneficial for these cases. Initialization is always a critical task of the mixture estimation. Within the considered recursive estimation algorithm the key point of its initialization is a choice of initial statistics of components. The paper explores several initialization approaches and compares results of clustering with a theoretical counterpart. Experiments with real data are demonstrated.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.22.70.9

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Suzdaleva, E.; Nagy, I.; Pecherková, P. and Likhonina, R. (2017). Initialization of Recursive Mixture-based Clustering with Uniform Components. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-263-9; ISSN 2184-2809, SciTePress, pages 449-458. DOI: 10.5220/0006417104490458

@conference{icinco17,
author={Evgenia Suzdaleva. and Ivan Nagy. and Pavla Pecherková. and Raissa Likhonina.},
title={Initialization of Recursive Mixture-based Clustering with Uniform Components},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2017},
pages={449-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006417104490458},
isbn={978-989-758-263-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Initialization of Recursive Mixture-based Clustering with Uniform Components
SN - 978-989-758-263-9
IS - 2184-2809
AU - Suzdaleva, E.
AU - Nagy, I.
AU - Pecherková, P.
AU - Likhonina, R.
PY - 2017
SP - 449
EP - 458
DO - 10.5220/0006417104490458
PB - SciTePress