Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development

• RFCM algorithm removes drawbacks of the FCM algorithm. • RFCM algorithm eliminates interactions among clusters. • RFCM algorithm is suitable for data highly contaminated with noise and outliers. • RFCM algorithm is suitable for data with different cluster densities and sizes.

Gespeichert in:
Autor*in:

Askari, Salar [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

Outlier

FCM

Noise

Fuzzy C-Means

Unequal clusters

Clustering

Übergeordnetes Werk:

Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:165 ; year:2021 ; day:1 ; month:03 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.eswa.2020.113856

Katalog-ID:

ELV052445763

Nicht das Richtige dabei?

Schreiben Sie uns!