Material Detail

Visual Divisive Hierarchical Clustering Using k-Means

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.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.