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**Metric's name**
Silhouette Score
**Metric's category**
Clustering
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Hi, thanks for this interesting new approach for studying single-cell trajectories. I was following the tutorial notebook at https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb …
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Hey,
This is not an actual issue regarding the project, but I didn't know where to ask instead. So I have a dataframe that contains m/z and intensity arrays as well as cluster labels. I want to eva…
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First, thanks for this extremely useful package and detailed explanations on tree metrics and visualizations in treespace as well as assessments of those visualizations.
I have a question about the…
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**Describe the bug**
silhouette_score will lead to CUDA error when running check_labels on larger array sizes.
**Steps/Code to reproduce bug**
```
import numpy as np
from cuml.metrics.cluster i…
goraj updated
3 months ago
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An additional point is needed in the documentation for the **silhouette coefficient score** (Function: _sklearn.metrics.silhouette_score_, Documentation Page: https://scikit-learn.org/stable/modules/g…
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Thank you for the great package and method.
I was wondering if I do not have a pre-determined number of clusters, when using silhouette score, should I use the latent representation or original da…
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Hi,
I am currently working on identifying clonal types in my DLP library using mitochondrial variants, and I would like to use your runmtclone.py script (referred to as MityBayes in your paper, I b…
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- [ ] line plot of silhouette score optimization
- x axis == N clusters, y axis == Silhouette score
- highlight N clusters that maximized Silhouette score
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Las instrucciones son:
`
dim4 = []
Para i entre 1 y 4:
Sea j la dimensión (entre 1 y 784, sin contar las dimensiones que ya están en dim4) tales que clusterizar con j y las dim…