搜索资源列表
fuz
- 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
yeast_gc4f_t
- yeast amino acid compostion table
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集,聚类分析也经常用,包括:UCI的数据集wine,yeast,iris等,还有USPS数据集,4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used
parzen_estimate_psf
- Parzen窗函数法(方窗,正态窗,指数窗)进行数据估计。源码中包含对一维和二维数据的估计程序,同时还将iris、Yeast、abalone数据集绛为一维进行数据估计。-Parzen window functions is used to estimate the datasets(contains the one-dimensional datasets and the two-dimensional datasets). Besid
model
- Semi-Continuous fermentation of baker s yeast
MLkNN
- ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the
SBTOOLBOX
- Dynamic genome-scale metabolic modeling of the yeast Pichia pastoris