Multivariate functional data clustering using adaptive density peak detection
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9687
Abstract: Clustering for multivariate functional data is a challenging problem since the data are represented by a set of curves and functions belonging to an infinite‐dimensional space. In this article, we propose a novel clustering method… read more here.
Keywords: adaptive density; density; multivariate functional; functional data ... See more keywords
Particle-in-cell simulations of density peak formation and ion heating from short pulse laser-driven ponderomotive steepening
Sign Up to like & getrecommendations! Published in 2019 at "Physics of Plasmas"
DOI: 10.1063/1.5108811
Abstract: We use particle-in-cell (PIC) simulations and simple analytic models to investigate the laser-plasma interaction known as ponderomotive steepening. When normally incident laser light reflects at the critical surface of a plasma, the resulting standing electromagnetic… read more here.
Keywords: density; laser; density peak; particle cell ... See more keywords
HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2918772
Abstract: Clustering, which explores the visualization and distribution of data, has recently been widely studied. Although current clustering algorithms such as DBSCAN, can detect the arbitrary-shape clusters and work well, the parameters involved in these methods… read more here.
Keywords: based clustering; clustering algorithm; density; algorithm employing ... See more keywords
A Novel Self-Adaptive Affinity Propagation Clustering Algorithm Based on Density Peak Theory and Weighted Similarity
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956963
Abstract: To solve both the similarity calculation method and parameter limits problems of the affinity propagation algorithm (AP), the self-adaptive affinity propagation clustering algorithm based on density peak clustering and weighted similarity (DPWSAP) was proposed. The… read more here.
Keywords: self adaptive; similarity; density; affinity propagation ... See more keywords
A New Density Peak Clustering Algorithm Based on Cluster Fusion Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3205742
Abstract: When the density peak clustering algorithm deals with complex datasets and the problem of multiple density peaks in the same cluster, the subjectively selected cluster centers are not accurate enough, and the allocation of non-cluster… read more here.
Keywords: density; density peak; peak clustering; clustering algorithm ... See more keywords
Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2926396
Abstract: The clustering methods have a good application in many aspects, in which the density peak (DP) clustering can effectively cluster similar neighboring pixels so that the features can be extracted well for hyperspectral images (HSIs)… read more here.
Keywords: feature; density; covariance; covariance matrix ... See more keywords
Index-Based Solutions for Efficient Density Peak Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3004221
Abstract: Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewer-parameter requirement. However, the resultant clusters obtained using DPC are influenced by… read more here.
Keywords: mml; peak clustering; density peak; index ... See more keywords
Fast and Effective Active Clustering Ensemble Based on Density Peak
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3015795
Abstract: Semisupervised clustering methods improve performance by randomly selecting pairwise constraints, which may lead to redundancy and instability. In this context, active clustering is proposed to maximize the efficacy of annotations by effectively using pairwise constraints.… read more here.
Keywords: density peak; clustering ensemble; fast effective; active clustering ... See more keywords
A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Photoenergy"
DOI: 10.1155/2017/4903613
Abstract: Fault diagnosis of photovoltaic (PV) arrays plays a significant role in safe and reliable operation of PV systems. In this paper, the distribution of the PV systems’ daily operating data under different operating conditions is… read more here.
Keywords: photovoltaic arrays; diagnosis; density peak; density ... See more keywords
Microfeature Segmentation Algorithm for Biological Images Using Improved Density Peak Clustering
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/8630449
Abstract: To address the problem of low precision in feature segmentation of biological images with large noise, a microfeature segmentation algorithm for biological images using improved density peak clustering was proposed. First, the center pixel and… read more here.
Keywords: microfeature segmentation; density peak; segmentation; improved density ... See more keywords
Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering
Sign Up to like & getrecommendations! Published in 2023 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221140618
Abstract: Due to the fish scale surface of the weld seam, the guided wave dispersion is intensified, resulting in serious mode aliasing problem of the detected signal. It is difficult to analyze defect echo signal and… read more here.
Keywords: density peak; weld defects; matching pursuit; weld ... See more keywords