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Dynamic spectral clustering based on kernels


Diego Hernán Peluffo-Ordóñez

Professor/a organitzador/a

Jordi Duch Gavaldà


Yachay Tech, Ecuador


04-05-2018 12:00


The analysis of dynamic or time-varying data has emerged as an issue of great interest taking increasingly an important place in scientific community, especially in automation, pattern recognition and machine learning. There exists a broad range of important applications such as video analysis, motion identification, segmentation of human motion and plane tracking, among others. Spectral matrix analysis is one of the approaches to address this issue. Spectral techniques, mainly those based on kernels, have proved to be a suitable tool in several aspects of interest in pattern recognition and machine learning even when data are time-varying, such as the estimation of the number of clusters, clustering and classification. Most of spectral clustering approaches have been designed for analyzing static data, discarding the temporal information, i.e. the evolutionary behaviour along time. Some works have been developed to deal with the time varying effect. Nonetheless, an approach able to accurately track and cluster time-varying data in real time applications remains an open issue. This research aims to design kernel-based dynamic spectral clustering using a primal-dual approach so as to carry out the grouping task involving the dynamic information, that is to say, the changes of data frames along time. Bio: He was born in Pasto - Colombia in 1986. He received his degree in electronic engineering, the M.Eng.and PhD. degree in industrial automation from the Universidad Nacional de Colombia, Manizales - Colombia, in 2008, 2010 and 2013, respectively. He undertook his doctoral internship at KU Leuven - Belgium. Afterwards, he worked as a post-doc at Université Catholique de Louvain at Louvain la-Neuve, Belgium. In 2014, he worked as an assistant teacher at Universidad Cooperativa de Colombia - Pasto. From 2015 to 2017, he worked as a researcher/professor at Universidad Técnica del Norte - Ecuador. Currently, he is working as a researcher/professor at Yachay Tech - Ecuador. He is invited lecturer at Universidad de Nariño - Colombia Universidad de Nariño - Colombia and Corporación Universitaria Autónoma de Nariño - Colombia. He is the head of the SDAS research group. His main research interests are dimensionality reduction, and spectral methods for data clustering and representation.


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