Abstract: Linear discriminant analysis (LDA) has been widely applied for hyperspectral image (HSI) analysis as a popular method for feature extraction and dimensionality reduction. Linear methods such ...
Abstract: Component Analysis (CA) consists of a set of statistical techniques that decompose data to appropriate latent components that are relevant to the task-at-hand (e.g., clustering, segmentation ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
Python, a versatile and powerful programming language, is widely used across various industries for its simplicity and readability. Learning Python in less than a week can be a challenging but ...
Medical image analysis is of tremendous importance in serving clinical diagnosis, treatment planning, as well as prognosis assessment. However, the image analysis process usually involves multiple ...
Various techniques applied for the prediction of bankruptcy- Generalized Linear Regression- Logistic, Classification Tree, Generalized Additive Model, Linear Discriminant Analysis and Neural Networks.
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