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I would like to use lifelines package cox-regression analysis on TCGA data ( a very high dimensional dataset ~1500 features), and I keep getting the "Convergence halted due to matrix inversion problem…
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For high-dimensional data, kd-tree uses O(n) time to do the search. And [knowing something about the (Euclidian) distance in one dimension says very little about the distance in the full space](https:…
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Hi, I'm applying this function to high-dimensional microbiome data, the bootstrap can take a very long time. Having 10 cores on my laptop I'm wondering if there's a way to parallelize the process or i…
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Experiment running with Rosenbrock function yields the following error message:
`Run experiment for 'RandomOptimisation' on function 'Rosenbrock'...
/home/dm/DarkMachines/high-dimensional-sampling…
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Does this repo have plans to implement the algorithm fGES[1]? fGES seems to work well for large scale problems. I wanna do some work on a large scale problem. If there is a related plan, it will help …
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**Submitting author:** @JiangmeiRubyXiong (Jiangmei Xiong)
**Repository:** https://github.com/dragontaoran/sleev
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.3
**Editor:** @j…
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Could prove to be an interesting way to cluster high-dimensional data, see [this example from MiniSOM](https://github.com/JustGlowing/minisom/blob/master/examples/Clustering.ipynb).
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### Background
Most single cell datasets have high dimensionality. For scRNA-seq, each cell is an observation, and the measurements, or dimensions that characterize each cell are all the genes. To vi…
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**Description**
The read_tiff function seems like it will error for any non-imagej formatted image written by tifffile -- and perhaps any non-imagej tiff whatsoever -- as tifffile's read function wil…
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The discussion about a data.table format reminded me of something I wanted to bring up for a while. I wonder if we can have a non-rvar format that can handle high dimensional arrays of posterior draws…