Cited By
View all- Li JCheng KWang SMorstatter FTrevino RTang JLiu H(2017)Feature SelectionACM Computing Surveys10.1145/313662550:6(1-45)Online publication date: 6-Dec-2017
In data mining applications, data instances are typically described by a huge number of features. Most of these features are irrelevant or redundant, which negatively affects the efficiency and effectiveness of different learning algorithms. The ...
A new unsupervised filter feature selection method for mixed data is proposed.Spectral feature selection is used for finding relevant features in mixed datasets.The most relevant features are placed at the beginning of the ranking.Our method overcomes ...
As an effective technique for dimensionality reduction, feature selection has a broad application in different research areas. In this paper, we present a feature selection method based on a novel feature clustering procedure, which aims at partitioning ...
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