A Topological View of Unsupervised Learning from Noisy Data
Work
Year: 2011
Type: article
Abstract: In this paper, we take a topological view of unsupervised learning. From this point of view, clustering may be interpreted as trying to find the number of connected components of any underlying geomet... more
Source: SIAM Journal on Computing
Cites: 27
Cited by: 172
Related to: 10
FWCI: 14.11
Citation percentile (by year/subfield): 99.99
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green