مقاله انتخاب ویژگی براساس پراکندگی ایجاد شده: یک مطالعه جامع

عنوان مقاله فارسی: انتخاب ویژگی براساس پراکندگی ایجاد شده: یک مطالعه جامع عنوان مقاله لاتین: Feature Selection Based on Structured Sparsity: A Comprehensive Study نویسندگان: Jie Gui; Zhenan Sun; Shuiwang Ji; Dacheng Tao; Tieniu Tan تعداد صفحات: 17 سال انتشار: 2017 زبان: لاتین Abstract: Feature selection (FS) is an important component of many pattern recognition tasks. In these tasks, one is often confronted with very high-dimensional data. FS algorithms are designed to identify the relevant feature subset from the original features, which can facilitate subsequent analysis, such as clustering and classification. Structured sparsity-inducing feature selection (SSFS) methods have been widely studied in the last few years, and a number of algorithms have been proposed.