Density peak clustering (DPC) algorithm has become a well-known clustering method
during the last decade, The research communities believe that DPC is a powerful tool …

Hydrogel flexible sensors are widely used in wearable devices, health care, intelligent
robots and other fields due to their excellent flexibility, biocompatibility and high sensitivity …

Density peaks clustering (DPC) algorithm reported in Science is a novel and efficient
clustering method which has attracted great attention for its simplicity and practicability …

Imbalanced data severely hinder the classification performance of learning-based
algorithms and attract a great deal of attention from researchers. The undersampling method …

Density-based clustering can discover convex and non-convex clusters without specifying
the number of clusters. However, its ability to handle clusters with heterogeneous densities …

With its unique geometric properties, non-negative matrix factorization (NMF) has become
one of the widely used clustering methods in the field of data mining. Regrettably, most …

Abstract Three‐dimensional (3D) object detection, that is, localizing and classifying all
critical objects in a 3D space, is essential for downstream construction scene analysis tasks …

Membrane distillation (MD) is proposed as an environmentally friendly technology of
emerging interest able to aid in the resolution of the worldwide water issue and brine …

Numerous graph-based clustering algorithms relying on k-nearest neighbor (KNN) have
been proposed. However, the performance of these algorithms tends to be affected by many …

Recently clustering for datasets with different shapes, densities and noises has attracted
more and more attention from scholars. However, most current clustering algorithms improve …