Copyright by M.Zhu,A.M.Martinez Please cite:Zhu M, Martinez A M. Subclass discriminant analysis[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2006, 28(8):1274 - 1286.
The monitored vibration signal of bearing is usually nonlinear and nonstationary, and may be corrupted by background noise. Thus, it is very difficult to accurately extract sensitive and reliable characteristics information from the vibration signal
The moving-window bis-correlation coe±cients (MW-BiCC) was proposed and employed for the discriminant analysis of transgenic sugarcane leaves and --thalassemia with visible and nearinfrared (Vis–NIR) spectroscopy. The well-performed moving-window pri
Recently, local discriminant embedding (LDE) was proposed to manifold learning and pattern classification. LDE achieves good discriminating performance by integrating the information of neighbour and class relations between data points. However, in t
