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- 基于加权模糊c均值聚类与统计检验指导的多阈值图像自动分割算法 A Multi-threshold Image Segmentation Algorithm Based on WeightingFuzzy c-Means Clustering and Statistical Test
- 为了解决上述问题,现提出了一种基于多分辨率图像锥的模糊C-均值聚类图像分割算法。 To solve the above problem,(FCM) clustering of multi-resolution image awl for image segmentation is presented in this paper.
- 模糊C均值聚类 fuzzy C-means clustering
- 模糊C-均值聚类 fuzzy C-means clustering
- 模糊C均值聚类法 fuzzy cmeans clustering
- 基于距离修正的模糊C-球壳聚类算法 Fuzzy C-Spherical Shell Clustering Algorithm Based on Eucliden Distance
- 模糊C均值 fuzzy C-means
- 基于粗糙集与K-均值聚类的故障知识挖掘 Fault Knowledge Ming Based on Rough Set and K-Means Clustering
- 模糊C-均值 fuzzy C-means
- K均值聚类 K-means clustering
- K均值聚类法 K-means clustering
- 属性均值聚类 attribute means clustering
- 模糊C聚类分析 C-means clustering method
- 核K-均值聚类 kernel K-means clustering
- 模糊C-聚值聚类法 Fuzzy C-mean clustering(FCM)
- 矗一均值聚类 k-means clustering
- 快速K均值聚类 quick K-means cluster
- 模糊C-自回归模型聚类 fuzzy C-regression model clustering
- K-均值聚类法 K - means clustering
- k均值聚类法则 K-means Cluster method
