At present, the prevalence of diabetes is increasing because human body cannot metabolize glucose level. Accurate prediction patients an important research area. Many researchers have proposed techniques to predict this disease through data mining and machine learning methods. In prediction, feature selection a key concept in preprocessing. Thus, features that are relevant used for prediction. ...

Subspace clustering methods have been extensively studied in recent years. For 2-dimensional (2D) data, existing subspace usually convert 2D examples to vectors, which severely damages inherent structural information and relationships of the original data. In this paper, we propose a novel method, named KTRR, for The KTRR provides us with way learn most representative features from data learnin...

A nonparametric regression model proposed in [Pelletier and Frouin, Applied Optics, 2006] as a solution to the geophysical problem of ocean color remote sensing is studied. The model, called ridge function field, combines a regression estimate in the form of a superposition of ridge functions, or equivalently a neural network, with the idea pertaining to varyingcoefficients models, where the pa...

Hawkins and Yin (Comput. Statist. Data Anal. 40 (2002) 253) describe an algorithm for ridge regression of reduced rank data, i.e. data where p, the number of variables, is larger than n, the number of observations. Whereas a direct implementation of ridge regression in this setting requires calculations of order O(np2 + p3), their algorithm uses only calculations of order O(np2). In this paper,...