Peter Chin

Automatic similarity detection and clustering of data

2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

An algorithm was created which identifies the number of unique clusters in a dataset and assigns the data to the clusters. A cluster is defined as a group of data which share similar characteristics. Similarity …

cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations

2022 · arXiv (Cornell University)

In recent years, deep-learning-based approaches have been introduced to solving time-series forecasting-related problems. These novel methods have demonstrated impressive performance in univariate and low-dimensional multivariate time-series forecasting tasks. However, when these novel methods are used …