Fuzzy K-Means clustering has been an attractive research area for many multimedia tasks.
Due to the interference of the noise and outliers, the performance of fuzzy K-Means …

Extracting the individual tree crowns (ITCs) information is significant to fine forest resource
investigation and carbon storage estimation. UAV oblique photogrammetry (UOP) can …

Since the beginning of 2020, the COVID-19 pandemic has killed millions of people around
the world, leading to a worldwide panic that has fueled the rapid and widespread …

Cluster assignment of large and complex datasets is a crucial but challenging task in pattern
recognition and computer vision. In this study, we explore the possibility of employing fuzzy …

In the context of globalization, the trend of globalization in the field of education is becoming
more and more significant. With the maturity of Internet and cloud computing, a large online …

Mean‐shift originally refers to the mean vector of the offset. The algorithm idea is to assume
that the data sets of different clusters conform to different probability density distributions …

Most cluster assignments using the traditional kernel clustering method strongly depend on
the selection of the initial values. Under this scenario, directly using dimension reduction …

The present work aims to solve the problems that the traditional educational administration
management system has, such as low efficiency in analyzing big data, and the analysis …

ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …

Enterprise core competence is closely related to enterprise management performance, and
it is important to evaluate enterprise management performance. However, the current …