论文信息 - A Proposition of Interactive Visual Clustering System

A Proposition of Interactive Visual Clustering System

This paper describes a novel interactive clustering system that allows a user to iteratively update a clustering structure. The system uses a 2D projection, both as support for overlaying the current clusters, and to engage user interaction. By clicking elements directly in the visualization, and applying a sequence of operators, the user can inject his domain knowledge progressively, crafting a representation of the data that combines his preferences and the manifolds underlying the data. The interest of the system is demonstrated by detailed experimental scenarios on two image databases.

P. Bruneau | B. Otjacques

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