Category: Dimensionality reduction

Reduce Dimensions for Single Cell

From: https://towardsdatascience.com/reduce-dimensions-for-single-cell-4224778a2d67 From Becht et al., Nature Biotechnology 2019, image source This is the eighth article in the column Mathematical Statistics and Machine Learning for Life Sciences where I try to cover analytical techniques common for Bioinformatics, Biomedicine, Genetics, Evolutionary Science etc. Today we are going to talk about dimension reduction techniques applied to single cell genomics data. Among others, we are … Continue reading Reduce Dimensions for Single Cell →

Dimensionality reduction for image and texture set compression

From: https://bartwronski.com/2020/05/21/dimensionality-reduction-for-image-and-texture-set-compression/ Teaser image: Example PBR Texture set compressed with presented technique.Textures credit cc0textures, Lennart Demes. In this blog post I am going to describe some of my past investigations on reducing the number of channels in textures / texture sets automatically and generally – without assuming anything about texture contents other than correspondence to … Continue reading Dimensionality reduction for image and texture set compression →