all AI news
Embedding Neighborhoods Simultaneously t-SNE (ENS-t-SNE). (arXiv:2205.11720v1 [cs.LG])
May 25, 2022, 1:10 a.m. | Vahan Huroyan, Raymundo Navarrete, Md Iqbal Hossain, Stephen Kobourov
cs.LG updates on arXiv.org arxiv.org
We propose an algorithm for visualizing a dataset by embedding it in
3-dimensional Euclidean space based on various given distances between the same
pairs of datapoints. Its aim is to find an Embedding which preserves
Neighborhoods Simultaneously for all given distances by generalizing the
t-Stochastic Neighborhood Embedding approach (ENS-t-SNE). We illustrate the
utility of ENS-t-SNE by demonstrating its use in three applications. First, to
visualize different notions of clusters and groups within the same
high-dimensional dataset with one 3-dimensional embedding, …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Principal Data Engineer
@ RS21 | Remote
SQL/Power BI Developer
@ ICF | Virginia Remote Office (VA99)
Senior Machine Learning Engineer (Canada Remote)
@ Fullscript | Ottawa, ON
Software Engineer - MLOps.
@ Renesas Electronics | Toyosu, Japan
Junior Data Scientist / Artificial Intelligence consultant
@ Deloitte | Luxembourg, LU