Density peaks clustering algorithm based on fuzzy and weighted shared neighbor for uneven density datasets
Uneven density data refers to data with a certain difference in sample density between
clusters. The local density of density peaks clustering algorithm (DPC) does not consider the …
clusters. The local density of density peaks clustering algorithm (DPC) does not consider the …
Soft clustering of retired lithium-ion batteries for the secondary utilization using Gaussian mixture model based on electrochemical impedance spectroscopy
Rapid sorting and reasonable regrouping of retired lithium-ion batteries (LIBs) are directly
related to the economy and safety of the second-life utilization. However, the efficiency and …
related to the economy and safety of the second-life utilization. However, the efficiency and …
Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm
T Li, J Ma - Pattern Recognition, 2023 - Elsevier
Abstract Gaussian Process Functional Regression (GPFR) is a powerful tool in functional
data analysis. In practical applications, functional data may be generated from different …
data analysis. In practical applications, functional data may be generated from different …
An efficient EM algorithm for two-layer mixture model of gaussian process functional regressions
D Wu, Y Xie, Z Qiang - Pattern Recognition, 2023 - Elsevier
The mixture of Gaussian processes is effective for regression, but it cannot handle the non-
stationary curve clustering problem well. The two-layer mixture of Gaussian process …
stationary curve clustering problem well. The two-layer mixture of Gaussian process …
Uncertainty-driven active developmental learning
Q Hu, L Ji, Y Wang, S Zhao, Z Lin - Pattern Recognition, 2024 - Elsevier
Existing machine learning models can well handle common classes but struggle to detect
unfamiliar or unknown classes due to environmental variations. To address this challenge …
unfamiliar or unknown classes due to environmental variations. To address this challenge …
[HTML][HTML] Structural reliability analysis by using non-probabilistic multi-cluster ellipsoidal model
K Li, H Liu - Entropy, 2022 - mdpi.com
Uncertainties are normally unavoidable in engineering practice, which should be taken into
account in the structural design and optimization so as to reduce the relevant risks. Yet, the …
account in the structural design and optimization so as to reduce the relevant risks. Yet, the …
Plate shape recognition based on Gaussian function and particle swarm optimization for roller quenching process
Plate shape recognition in the roller quenching process provides effective feedback signals
for plate shape control. Its accuracy directly affects the control effect. Most studies have …
for plate shape control. Its accuracy directly affects the control effect. Most studies have …
Density peaks clustering based on superior nodes and fuzzy correlation
Abstract The Density Peaks Clustering (DPC) algorithm is simple and efficient, but still has a
few limitations. For example, DPC needs manual selection of clustering centers and may …
few limitations. For example, DPC needs manual selection of clustering centers and may …
Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models
M Pasande, R Hosseini, BN Araabi - Pattern Recognition Letters, 2024 - Elsevier
Abstract Gaussian Mixture Models (GMMs) are one of the most potent parametric density
models used extensively in many applications. Flexibly-tied factorization of the covariance …
models used extensively in many applications. Flexibly-tied factorization of the covariance …
[HTML][HTML] An efficient image segmentation method based on expectation maximization and Salp swarm algorithm
E Ehsaeyan - Multimedia Tools and Applications, 2023 - Springer
Multilevel image thresholding using Expectation Maximization (EM) is an efficient method for
image segmentation. However, it has two weaknesses: 1) EM is a greedy algorithm and …
image segmentation. However, it has two weaknesses: 1) EM is a greedy algorithm and …