3 papers
stat.CO2023
Ensemble Principal Component Analysis
Olga Dorabiala, Aleksandr Aravkin, J. Nathan Kutz
Efficient representations of data are essential for processing, exploration, and human understanding, and Principal Component Analysis (PCA) is one of the most common dimensionalit…
cs.LG2022
Spatiotemporal k-means
Olga Dorabiala, Devavrat Vivek Dabke, Jennifer Webster +2
Spatiotemporal data is increasingly available due to emerging sensor and data acquisition technologies that track moving objects. Spatiotemporal clustering addresses the need to ef…
stat.ML2021
Robust Trimmed k-means
Olga Dorabiala, J. Nathan Kutz, Aleksandr Aravkin
Clustering is a fundamental tool in unsupervised learning, used to group objects by distinguishing between similar and dissimilar features of a given data set. One of the most comm…