Suchergebnisse - "density peaks clustering algorithm"

A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm

Autoren: Caixia Wang Rongquan Wang Kaiying Jiang

Quelle: Mathematics ; Volume 13 ; Issue 2 ; Pages: 196

Schlagwörter: protein–protein interaction network, protein complexes, fuzzy clustering algorithm, density peaks clustering algorithm, parameter optimization, swarm intelligence optimization algorithm

Dateibeschreibung: application/pdf

Relation: E3: Mathematical Biology; https://dx.doi.org/10.3390/math13020196

Verfügbarkeit: https://doi.org/10.3390/math13020196

Differential Privacy-Preserving Density Peaks Clustering Based on Shared Near Neighbors Similarity

Autoren: Liping Sun Shuting Bao Shang Ci et al.

Quelle: IEEE Access, Vol 7, Pp 89427-89440 (2019)

Schlagwörter: shared near neighbors similarity, density peaks clustering algorithm, differential privacy, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Privacy preservation, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756224.pdf
https://doaj.org/article/2cd54dfe2ef046a49a52b1b9dc41178a
https://ieeexplore.ieee.org/document/8756224/
https://doaj.org/article/2cd54dfe2ef046a49a52b1b9dc41178a
https://dblp.uni-trier.de/db/journals/access/access7.html#SunBCZGL19

A Hierarchical Algorithm Based on Density Peaks Clustering and Ant Colony Optimization for Traveling Salesman Problem

Autoren: Erchong Liao Changan Liu

Quelle: IEEE Access, Vol 6, Pp 38921-38933 (2018)

Schlagwörter: Ant colony optimization, density peaks clustering algorithm, traveling salesman problem, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, k-Opt algorithm, TK1-9971, 3. Good health

Zugangs-URL: https://doaj.org/article/93ce71a252084436aa2eb391331cd088
https://dblp.uni-trier.de/db/journals/access/access6.html#LiaoL18
https://ieeexplore.ieee.org/document/8404041

Research of circuit breaker intelligent fault diagnosis method based on double clustering

Autoren: Ding Qiaolin He Mengyuan Wei Yao et al.

Quelle: IEICE Electronics Express. 2017, 14(17):20170463