Machine learningClustering
模糊 C均值聚类 (FCM)
模糊 C均值是一种软聚类算法，其中每个数据点都以介于 0 和 1 之间的分级隶属度属于每个簇，而不是被分配到仅一个簇。该算法由 Joseph Dunn 于 1973 年提出，并由 James Bezdek 于 1981 年推广，它最小化了簇内模糊加权方差，因此非常适合具有重叠或无清晰边界的数据组。
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来源
- Dunn, J. C. (1973). A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics, 3(3), 32–57. DOI: 10.1080/01969727308546046 ↗
- Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press. ISBN: 978-0-306-40671-3
如何引用本页
ScholarGate. (2026, June 2). Fuzzy C-Means Clustering (FCM). ScholarGate. https://scholargate.app/zh/machine-learning/fuzzy-c-means
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