Graph visualization techniques for web clustering engines
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Updated: Jul 17, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
Emilio Di Giacomo1, Walter Didimo, Luca Grilli
1Dipartimento di Ingegneria Elettronica e dell'Informazione, Università degli Studi di Perugia, Italy. digiacomo@diei.unipg.it
Abstract:
One of the most challenging issues in mining information from the World Wide Web is the design of systems that present the data to the end user by clustering them into meaningful semantic categories. We show that the analysis of the results of a clustering engine can significantly take advantage of enhanced graph drawing and visualization techniques. We propose a graph-based user interface for Web clustering engines that makes it possible for the user to explore and visualize the different semantic categories and their relationships at the desired level of detail.
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