A GPU-based interactive bio-inspired visual clustering

Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-inspired collective behavioral model used in a 3D graphics environment. The paper illustrates an extension of the behavioral model for clustering and a parallel implementation using Compute Unified Device Architecture to exploit the computational power of Graphics Processor Unit. The advantage of this approach is that, as the data enters in the environment, the user is directly involved in the data mining process. Our performance experiments illustrate the effectiveness and efficiency provided by our approach over a number of real and synthetic data sets.

• Type: Journal
• Year: 2011
• Where: CIDM
• Authors: Ugo Erra, Bernardino Frola, Vittorio Scarano
• Keywords: Artificial Intelligence, Behavioral Model, CIDM 2011, Collective Behavioral Model, Visual Clustering Approach