ENBIS-24 Leuven Conference

Session

PCA and mining

18 Sept 2024, 14:00

Leuven, Belgium

Conveners

PCA and mining

• Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe)

77. Dimension reduction for flow cytometry data for classification purposes

Anne Gégout-Petit (Université de Lorraine)

18/09/2024, 14:00

Biostatistics/ Statistics in the Pharmaceutical Industry

Flow cytometry is a technique used to analyze individual cells or particles contained in a biological sample. The sample passes through a cytometer, where the cells are irradiated by a laser, causing them to scatter and emit fluorescent light. A number of detectors then collect and analyze the scattered and emitted light, producing a wealth of quantitative information about each cell (cell...

124. Investigation of corporate sustainability reporting through automated text analysis

Aleš Toman (University of Ljubljana, School of Economics and Business)

18/09/2024, 14:20

Data Mining and Warehousing

In order to evaluate the performance of companies, the focus is shifting from purely quantitative (financial) information to qualitative (textual) information. Corporate annual reports are comprehensive documents designed to inform investors and other stakeholders about a company's performance in the past year and its goals for the coming years. We have focused on the corporate sustainability...

31. New insights about robust kernel PCA

Can Hakan Dagidir (KU Leuven)

18/09/2024, 14:40

Data Mining and Warehousing

Kernel Principal Component Analysis (KPCA) extends linear PCA from a Euclidean space to data provided in the form of a kernel matrix. Several authors have studied its sensitivity to outlying cases and have proposed robust alternatives, as well as outlier detection diagnostics. We investigate the behavior of kernel ROBPCA, which relies on the Stahel-Donoho outlyingness in feature space...