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FCM
- 核聚类算法:聚类是将一组给定的未知类标号的样本分成内在的多个类别,使得同一类中 的样本具有较高的相似度,而不同类中的样本差别大。侧重于软聚类(模糊C-均值——FCM),但其描述手段同样适合于硬聚 类(HCM)等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
simpleMKL
- 多核学习之simpleMKL工具箱,里面包含了simpleMKL算法和MKL-wrapper算法,其中原始工具箱中MKL-wrapper不能运行,此处已进行了修正。-Multi-core learning simpleMKL toolbox, containing the simpleMKL algorithm and MKL- wrapper algorithm, the original toolbox MKL- wrapper can not run, has been revised.
SILPMKL
- 用于回归的多核学习之MKL-wrapper算法程序,编写语言为python,运行环境为linux。-For multi-core the MKL- wrapper of learning algorithm of regression procedure, is the written language python, running environment for Linux.