Specialization: Machine Learning Instructor: Geena Kim, Assistant Teaching Professor Prior knowledge needed: Calculus, Linear algebra, Python Learning Outcomes Explain what unsupervised learning is, ...

This paper presents a PCA (Principal Component Analysis) data dimensionality reduction algorithm based on OPNs (Ordered Pair of Normalized Real Numbers), referred to as OPNs-PCA. This algorithm aims ...

On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...

BP neural network inherits many disadvantages such as slow convergence speed and easily converging to local minimum. The input data generally has a high-dimensional feature. To improve the performance ...

Recently, Canovas and colleagues [3] reported on a new algorithm that incorporates PCA into the Tecnis toric IOL calculator. The authors tested the accuracy of the formula retrospectively on 274 ...