Speaker: Zhang Mimi, Trinity College Dublin

Inviter: 胡庆培

Title: Functional data cluster analysis (函数型数据的聚类分析)

Language: Chinese

Time & Venue: 2024.06.06 10:30-11:30 南楼N213

Abstract: Functional data clustering is to identify heterogeneous morphological patterns in the continuous functions underlying the discrete measurements/observations. Application of functional data clustering has appeared in many publications across various fields of sciences, including but not limited to biology, (bio)chemistry, engineering, environmental science, medical science, psychology, social science, and so on. The phenomenal growth of the application of functional data clustering indicates the urgent need for a systematic approach to develop efficient clustering methods and scalable algorithmic implementations. In this talk I will explain functional data cluster analysis and our recent work on a functional data clustering algorithm.