講題：Exploratory Data Analysis Based on Matrix Visualization

講者：吳漢銘 副教授 （國立政治大學統計學系）

時間：2024 / 3 / 13（週三）下午 2:00

地點：中研院人社中心第一會議室及Webex線上會議室（hybrid）

會議連結：https://reurl.cc/zl6Yre
會議號：2514 326 5569
密碼：0313

演講摘要：

A matrix visualization (MV), also known as a heatmap, is a tool that presents data matrices through colored maps. This visualization technique is particularly useful for investigating the grouping and clustering structure of large-scale, high-dimensional datasets without reducing their dimensions. As an exploratory data analysis (EDA) tool, it has been extensively used in various fields, including bioinformatics, social science, and computer science. In this study, we first review representative works on MV-related techniques and R packages development. Next, we describe the main procedures of MV within the framework of generalized association plots (GAPs), along with some recent advances. Specifically, we introduce and apply raw data from cellular probes. Additionally, we discuss MV generalizations in the context of visual data mining and highlight some innovative approaches for future research. (This study is based on a joint work with Chun-houh Chen from the Institute of Statistical Science at Academia Sinica.)

主辦單位：中研院人社中心調查研究專題中心
聯絡人： 謝小姐