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662 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 13, NO. 3, MAY 2002 Constructive Feedforward ART Clustering
 

Summary: 662 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 13, NO. 3, MAY 2002
Constructive Feedforward ART Clustering
Networks--Part II
Andrea Baraldi and Ethem Alpaydin
Abstract--Part I of this paper defines the class of constructive
unsupervised on-line learning simplified adaptive resonance
theory (SART) clustering networks. Proposed instances of class
SART are the symmetric Fuzzy ART (S-Fuzzy ART) and the
Gaussian ART (GART) network. In Part II of our work, a third
network belonging to class SART, termed fully self-organizing
SART (FOSART), is presented and discussed. FOSART is a
constructive, soft-to-hard competitive, topology-preserving,
minimum-distance-to-means clustering algorithm capable of:
1) generating processing units and lateral connections on an
example-driven basis and 2) removing processing units and
lateral connections on a minibatch basis. FOSART is compared
with Fuzzy ART, S-Fuzzy ART, GART and other well-known
clustering techniques (e.g., neural gas and self-organizing map) in
several unsupervised learning tasks, such as vector quantization,
perceptual grouping and 3-D surface reconstruction. These

  

Source: Alpaydın, Ethem - Department of Computer Engineering, Bogaziçi University

 

Collections: Computer Technologies and Information Sciences