logo EDITE Arthur GUILLON
Identité
Arthur GUILLON
État académique
Thèse en cours...
Sujet: Subspace clustering et interprétabilité
Direction de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01364652
Proximal Optimization for Fuzzy Subspace Clustering
International audience
This paper proposes a fuzzy partitioning subspace clustering algorithm that minimizes a variant of the FCM cost function with a weighted Euclidean distance and a penalty term. To this aim it considers the framework of proximal optimization. It establishes the expression of the proximal operator for the considered cost function and derives PFSCM, an algorithm combining proximal descent and alternate optimization. Experiments show the relevance of the proposed approach.
Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I 16th International Conference on Information processing and Management of Uncertainty (IPMU 2016) http://hal.upmc.fr/hal-01364652 16th International Conference on Information processing and Management of Uncertainty (IPMU 2016), Jun 2016, Eindhoven, Netherlands. Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I, 610, pp.675-686, 2016, Communications in Computer and Information Science. <10.1007/978-3-319-40596-4_56>ARRAY(0x7f03ff08fa78) 2016-06-20