Visual Divisive Hierarchical Clustering Using k-Means
PDF document. This document presents a browser-based semi-automatic taxonomy construction tool Vd-chuck which is able to incorporate text and data mining algorithms into a userfriendly interface. The presented system is browserbased. Its unsupervised learning for concept suggestion and different visualization techniques assist the user with textual and numerical data analysis. We tested the Vd-chuck system on a real-world domain: a corpus of documents taken from Slovenian Language technologies conferences. The results show that with our system similar taxonomies as with other taxonomy editors can be constructed.