American Psychological Association 6th edition

Chang, S.-C., Chuang, W.-C., & Jeng, J.-T. (2023). New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis. Applied Sciences (2076-3417), 13(22), 12531-12558. https://doi.org/10.3390/app132212531

ISO-690 (author-date, English)

CHANG, Sheng-Chieh, CHUANG, Wei-Ching und JENG, Jin-Tsong, 2023. New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis. Applied Sciences (2076-3417). 15 November 2023. Vol. 13, no. 22, p. 12531-12558. DOI 10.3390/app132212531.

Modern Language Association 9th edition

Chang, S.-C., W.-C. Chuang, und J.-T. Jeng. „New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis.“. Applied Sciences (2076-3417), Bd. 13, Nr. 22, November 2023, S. 12531-58, https://doi.org/10.3390/app132212531.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chang, Sheng-Chieh/Chuang, Wei-Ching/Jeng, Jin-Tsong: New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis., Applied Sciences (2076-3417) 2023, 12531-12558.

Emerald - Harvard

Chang, S.-C., Chuang, W.-C. und Jeng, J.-T. (2023), „New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis.“, Applied Sciences (2076-3417), Vol. 13 No. 22, S. 12531-12558.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.