Adaptive Visual Clustering for Mixed-Initiative Information Structuring

Authors:
Hakan Duman;Alex Healing;Robert Ghanea-Hercock
Affiliations:
British Telecommunications plc, Ipswich, United Kingdom IP5 3RE;British Telecommunications plc, Ipswich, United Kingdom IP5 3RE;British Telecommunications plc, Ipswich, United Kingdom IP5 3RE
Venue:
Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009
Year:
2009

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Abstract

Cyclone is a mixed-initiative and adaptive clustering and structure generation environment which is capable of learning categorization behavior through user interaction as well as conducting auto-categorization based on the extracted model. The strength of Cyclone resides in its integration of several visualization and interface techniques with data mining and AI learning processes. This paper presents the intuitive visual interface of Cyclone which empowers the user to explore, analyze, exploit and structure unstructured information from various sources generating a personalized taxonomy in real-time and on-the-fly.