Novel Circular-Shift Invariant Clustering

Dimitrios Charalampidis

2005

Abstract

Several important pattern recognition applications are based on feature extraction and vector clustering. Directional patterns may be represented by rota- tion-variant directional vectors, formed from M features uniformly extracted in M directions. It is often required that pattern recognition algorithms are invariant under pattern rotation or, equivalently, invariant under circular shifts of such directional vectors. This paper introduces a K-means based algorithm (Circular K-means) to cluster vectors in a circular-shift invariant manner. Thus, the algorithm is appropri- ate for rotation invariant pattern recognition applications. An efficient Fourier do- main implementation of the proposed technique is presented to reduce computa- tional complexity. An index-based approach is proposed to estimate the correct number of clusters in the dataset. Experiments illustrate the superiority of CK- means for clustering directional vectors, compared to the alternative approach that uses the original K-means and rotation-invariant vectors transformed from rotation- variant ones.

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Paper Citation


in Harvard Style

Charalampidis D. (2005). Novel Circular-Shift Invariant Clustering . In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2005) ISBN 972-8865-28-7, pages 33-42. DOI: 10.5220/0002568500330042


in Bibtex Style

@conference{pris05,
author={Dimitrios Charalampidis},
title={Novel Circular-Shift Invariant Clustering},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2005)},
year={2005},
pages={33-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002568500330042},
isbn={972-8865-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2005)
TI - Novel Circular-Shift Invariant Clustering
SN - 972-8865-28-7
AU - Charalampidis D.
PY - 2005
SP - 33
EP - 42
DO - 10.5220/0002568500330042