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- 基於加權模糊c均值聚類與統計檢驗指導的多閾值圖像自動分割演算法A Multi-threshold Image Segmentation Algorithm Based on WeightingFuzzy c-Means Clustering and Statistical Test
- 為了解決上述問題,現提出了一種基於多解析度圖像錐的模糊C-均值聚類圖像分割演算法。To solve the above problem,(FCM) clustering of multi-resolution image awl for image segmentation is presented in this paper.
- 模糊C均值聚類fuzzy C-means clustering
- 模糊C-均值聚類fuzzy C-means clustering
- 模糊C均值聚類法fuzzy cmeans clustering
- 基於距離修正的模糊C-球殼聚類演算法Fuzzy C-Spherical Shell Clustering Algorithm Based on Eucliden Distance
- 模糊C均值fuzzy C-means
- 基於粗糙集與K-均值聚類的故障知識挖掘Fault Knowledge Ming Based on Rough Set and K-Means Clustering
- 模糊C-均值fuzzy C-means
- K均值聚類K-means clustering
- K均值聚類法K-means clustering
- 屬性均值聚類attribute means clustering
- 模糊C聚類分析C-means clustering method
- 核K-均值聚類kernel K-means clustering
- 模糊C-聚值聚類法Fuzzy C-mean clustering(FCM)
- 矗一均值聚類k-means clustering
- 快速K均值聚類quick K-means cluster
- 模糊C-自回歸模型聚類fuzzy C-regression model clustering
- K-均值聚類法K - means clustering
- k均值聚類法則K-means Cluster method
