Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering
Yevgeniy V. Bodyanskiy, Ilya Kobylin, Yuriy Rashkevych, Olena А. Vynokurova, Dmytro Peleshko · 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) · 2018
In this paper the hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series (such as biomedical data, digital video streams, data from Internet of Things sensors, the signals, which form a discrete two-dimensional field, etc.) is proposed. This algorithm is characterised by computational simplicity, high approximation properties and can be used for clustering both small and high dimension data set of arbitrary nature.