講    題： Clustering for Unsupervised Learning: from Manufacturing to Diverse Data

主 講 人：廖崇碩 教授

      (清華大學工業工程與工程管理學系)

主 持 人： 洪暉智 教授

主辦單位：交通大學工業工程與管理系

時間：109年12月21日(星期一) 13:20~14:20

地    點：管二館520室

演講摘要：

In the new age of big data analytics, clustering has become more and more important for analyzing data, particularly with its application to unsupervised machine learning due to the lack of quality labelled data. Clustering has been widely exploited in a variety of fields, while there have been many different types of clustering algorithms widely-studied in the literature. In this talk, we will first introduce a new dynamic density-based clustering algorithm with its application to time-series data. Next we show numerical experiments over real-world data to demonstrate its effectiveness.

演講性質：學術研究專題 歡迎聽講