An Interactive, Example-Based, Visual Clustering System

P. Bruneau, B. Otjacques
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引用次数: 9

Abstract

This work describes and evaluates a novel interactive visual clustering system. It combines a 2D projection with a clustering algorithm that operates on this projected data. Users can interact directly through the 2D representation, by providing examples according to their expert ground truth. Each interaction incrementally updates the 2D projection and the associated clustering. Experiments show the effectiveness of the method, with as few as one interaction leading to a tangible influence on the visualization.
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一个交互式的、基于实例的可视化聚类系统
本文描述并评价了一种新的交互式视觉聚类系统。它结合了2D投影和对投影数据进行操作的聚类算法。用户可以直接通过2D表示进行交互,根据他们的专家实地情况提供示例。每个交互都会增量地更新2D投影和相关的聚类。实验证明了该方法的有效性,只需一次交互就可以对可视化产生切实的影响。
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