Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals

Autor: Rainer, Roman Josef, Mayr, Michael, Himmelbauer, Johannes, Nikzad-Langerodi, Ramin

In contrast to classical techniques for exploratory analysis of high-dimensional data sets, such as principal component analysis (PCA), neighbor embedding (NE) techniques tend to better preserve the local structure/topology of high-dimensional data.

Externí odkaz: http://arxiv.org/abs/2209.01984

Unsupervised approach for online outlier detection in industrial process data

Autor: Bechný, Michal, Himmelbauer, Johannes

Publikováno v: In Procedia Computer Science 2022 200:257-266

Noise in Bug Report Data and the Impact on Defect Prediction Results.

Autor: Ramler, Rudolf, Himmelbauer, Johannes

Publikováno v: 2013 Joint Conference of the 23rd International Workshop on Software Measurement & the 8th International Conference on Software Process & Product Measurement; 2013, p173-180, 8p