Browsing by Subject "High-dimensional data"
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Estimating the number of equal components for two high-dimensional mean vectors
(Taylor and Francis, 2020)In this article, we propose a new method for estimating the number of equal components m0 of two m-dimensional population means when m is large. The proposed method can be used to estimate the number of equally expressed ... -
Maximum–likelihood kernel density estimation in high–dimensional feature spaces
(North-West University, 2014)With the advent of the internet and advances in computing power, the collection of very large high-dimensional datasets has become feasible { understanding and modelling high-dimensional data has thus become a crucial ...