Principal Component Analysis in Space Forms is a research paper published in IEEE Transactions on Signal Processing (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NIH
Grant: 1R35GM142725
NIGMS NIH HHS
Grant: R35 GM142725
National Institutes of Health
Grant: 3R35GM142725-02S2
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype
FWCI
0.83
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Locality Sensitive Hashing in Hyperbolic Space