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Laboratory Overview	Mathematics of Cluster Analysis and Its Application Clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. In this laboratory, mathematical structure of clustering task is investigated to make clustering more usable and more flexible along with gazing its application including classification , recommendation, and so on.
Laboratory Character	We are developing a broad range of knowledge for cluster analysis, mathematical sense, and computer programming skill.
Research Outputs	You can review research papers in the website below. https://shibaura.pure.elsevier.com/en/persons/yuchi-kanzawa
Laboratory Research Field	Clustering Data mining Machine learning
Recent Research Topics	Clustering-based Recommendation Clustering-based Classification Fuzzy machine learning
Affiliated Conferences	IEICE
For Social Contributions to the World Sustainability	Clustering has many real applications including image processing, article classification in Google News, recommendation system in Amazon, and community extraction in SNS.