Abstract The Morris Water Maze is a widely used task in studies of spatial learning with rodents. Classical performance measures of animals in the Morris Water Maze include the …
J Kim, H Lee, YM Ko - Knowledge-Based Systems, 2024 - Elsevier
This article proposes a hyperparameter optimization method for density-based spatial clustering of applications with noise (DBSCAN) with constraints, termed HC-DBSCAN. While …
L Bai, JY Liang, F Cao - IEEE Transactions on pattern analysis …, 2020 - ieeexplore.ieee.org
Semi-supervised clustering is one of important research topics in cluster analysis, which uses pre-given knowledge as constraints to improve the clustering performance. While …
The proposal of a meta-cognitive learning machine that embodies the three pillars of human learning: what-to-learn, how-to-learn, and when-to-learn, has enriched the landscape of …
Z Yu, P Luo, J Liu, HS Wong, J You… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Traditional cluster ensemble approaches have several limitations.(1) Few make use of prior knowledge provided by experts.(2) It is difficult to achieve good performance in high …