Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
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Austin police explain how DNA analysis solved 1991 Yogurt Shop Murders; victims' families speak out
Austin authorities shared the information that led them to answer a nearly 34-year-old question: who killed four young girls at a yogurt shop in December 1991? This is the true, horrific story of Ed ...
KBMT-TV Beaumont-Port Arthur, Posted: September 29, 2025 | Last updated: September 30, 2025 The Austin Police Department held a press conference detailing how DNA testing led them to identify the ...
Abstract: In this paper, we propose a novel algorithm to solve the row-sparse principal component analysis problem without relying on any data structure assumption. Sparse principal component analysis ...
Background/objectives: Dietary patterns play an important role in regulating serum uric acid (SUA) levels in the body. Recently, compositional data analysis (CoDA) has been proposed as an alternative ...
The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...
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