APA (7th ed.) Citation

Askari, S. (2021). Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development. Expert systems with applications, 165, 113856. https://doi.org/10.1016/j.eswa.2020.113856

Chicago Style (17th ed.) Citation

Askari, Salar. "Fuzzy C-Means Clustering Algorithm for Data with Unequal Cluster Sizes and Contaminated with Noise and Outliers: Review and Development." Expert Systems with Applications 165 (2021): 113856. https://doi.org/10.1016/j.eswa.2020.113856.

MLA (9th ed.) Citation

Askari, Salar. "Fuzzy C-Means Clustering Algorithm for Data with Unequal Cluster Sizes and Contaminated with Noise and Outliers: Review and Development." Expert Systems with Applications, vol. 165, 2021, p. 113856, https://doi.org/10.1016/j.eswa.2020.113856.