QR Code

Ellipsoidal <i>K</i>-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions

Traditional <i>K</i>-means clustering assumes, to some extent, a uniform distribution of data around predefined centroids, which limits its effectiveness for many realistic datasets. In this paper, a new clustering technique, simulated-annealing-based ellipsoidal clustering (SAELLC), is proposed to...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Alaa E. Abdel-Hakim, Abdel-Monem M. Ibrahim, Kheir Eddine Bouazza, Wael Deabes, Abdel-Rahman Hedar
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2024-12-01
Rangatū:Algorithms
Ngā marau:
unsupervised learning
data clustering
simulated annealing
silhouette function
adaptive ellipsoidal <i>K</i>-means
automatic clustering
Urunga tuihono:https://www.mdpi.com/1999-4893/17/12/551
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite