-
NMF 是一种基于 matrix factorization 的机器学习方法。正如名字所说,NMF 对于 factorization 的要求是 factorization 之后的矩阵的每个元素必须是 nonnegative.
对于一个矩阵 **X**,我们可以将其拆分为 **HW**,然后赋予 **H** 和 **W** 这两个矩阵以意义。当然这里 **HW** 是对于 **X** 的近似…
-
Introduction :
The NMF algorithm is used to factorize a matrix into two other matrix, where all the three matrices have only non-negative elements.
My Application:
I wanted to use this technique for…
-
Hi,
Thank you for this great package!
Any scope to include semi nonnegative matrix factorization? Your docs seems to suggest ability to allow negative numbers in matrix to be factorized, but the…
-
There is a Julia library for NMF. Will it be sufficient for our purposes? Can we add our code in a way that matches their framework?
From https://github.com/JuliaStats/NMF.jl:
```
Note: Nonnegative …
-
### Preprocessing used in Wrist Angle Estimation Papers
---
#### From #40
* [Surface EMG pattern recognition for real-time control of a wrist exoskeleton (2010)](https://www.ncbi.nlm.nih.go…
dymnz updated
6 years ago
-
### Is your feature request related to a problem? Please describe.
It'd be nice to add to `scipy.linalg` a function that computes the [Takagi decomposition](https://en.wikipedia.org/wiki/Matrix_decom…
-
So often the AbstractPDMat restriction on MvNormal and other Multivariate distributions causes pain.
Discussed in slack with @timholy and @andreasnoack that i had a problem creating a Positive Defin…
-
Thank for your sharing!
Could you tell me the name of article that you refer to in this code?
Looking forward to your reply/
-
A particular case of the NMF is to find a vector x such that Ax=b where x is non-negative (and A is known), which is actually a least square problem with constraint x >= 0. The best-known algorithm t…
-
**Submitting author:** @deronsmith (Deron Smith)
**Repository:** https://github.com/quanted/esat
**Branch with paper.md** (empty if default branch):
**Version:** 2024.0.2
**Editor:** Pending
**Review…