Pia Rautenstrauch
@prauten.bsky.social
Computer Science PhD Student at @humboldtuni.bsky.social and @mdc-berlin.bsky.social | Data Science | Machine learning | AI | Bioinformatics | Genomics | Single-Cell Biology
Look for the bare necessities with manifold learning... 🐻🎶
Data science meets Disney in the most unexpected places!
Credits to the scikit-learn docs: scikit-learn.org/stable/modul... #DataScience #ManifoldLearning #TechHumor
Data science meets Disney in the most unexpected places!
Credits to the scikit-learn docs: scikit-learn.org/stable/modul... #DataScience #ManifoldLearning #TechHumor
February 4, 2025 at 1:43 PM
Look for the bare necessities with manifold learning... 🐻🎶
Data science meets Disney in the most unexpected places!
Credits to the scikit-learn docs: scikit-learn.org/stable/modul... #DataScience #ManifoldLearning #TechHumor
Data science meets Disney in the most unexpected places!
Credits to the scikit-learn docs: scikit-learn.org/stable/modul... #DataScience #ManifoldLearning #TechHumor
3/4 🔍 The problem: Silhouette's assumptions, made for internal clustering evaluation, are often violated in data integration contexts. They consider only nearest cluster distances, which fails with nested batch effects. Moreover, non-convex cluster shapes lead to unpredictable behavior.
January 24, 2025 at 5:49 PM
3/4 🔍 The problem: Silhouette's assumptions, made for internal clustering evaluation, are often violated in data integration contexts. They consider only nearest cluster distances, which fails with nested batch effects. Moreover, non-convex cluster shapes lead to unpredictable behavior.