Applied Informathematics Laboratory

Mathematics of grouping (clustering) and its applications

Clustering (cluster analysis) involves the grouping of voluminous data jumbled together according to their similarities. Our laboratory researches new automatic clustering methods and their application in enabling calculators to group big, complicated data that human being cannot handle, in a meticulous way that is akin to manual grouping. The photo on the right shows the PC monitor of one of our students working on graduation research, who is taking a nap beside it. Is he going to work throughout the night again?

College of Engineering Computer and Communications Engineering Information and Communications Engineering / Graduate School of Engineering and Science（Master's Program） Electrical Engineering and Computer Science Course / Graduate School of Engineering and Science（Doctor's Program） Functional Control Systems Course
Faculty Name
KANZAWA, Yuuchi
Keyword
Data mining,Optimization techniques,Fuzzy clustering,Algorithms,Pattern recognition,Theories,Data analyses,Machine learning,Computer simulations
Laboratory location
Research Building TOYOSU Campus 12F 12K32

This lab is for this SDG activity:

  • 産業と技術革新の基盤をつくろう

STUDY FIELDS

  • Information science
  • Information engineering
  • Mathematics
  • Communication engineering

FOR SOCIETY

Clustering has been applied to the classification of news in Google News, the recommendation system of Amazon’s web shops and the search of communities in social networking services.

RESEARCH THEMES

  • Development of divergence regulation clustering
  • Application of clustering in documenting classification
  • Application of clustering in recommendation systems

FIND LABORATORIES RELATED TO YOUR RESEARCH FIELD