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FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
Lmethod
- L-method in R statistical language. Implementation of the L-method algorithm for finding the best number of clusters in hierarchical clustering. Algorithm is described here: Salvador, S. and Chan, P., 2004. Determining the number of clusters/seg
mkylrk4
- lingjian m使用零件初始值,用蒙特卡罗方法算出总费用,其中使用了自己编制的正态分布随机数发生器产生正态分布随机数,l()
cbiphic__direction__signature
- 设B是一个n×n棋盘,n 2k,(k 1,2,3,…),用分治法设计一个算法,使得：用若干个L型条块可以覆盖住B的除一个特殊方()
argayejt-polymorphism
- L-M非线性优化算法源码,可以添加到你的工程文件中,()