parkinsons: Parkinsons data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This dataset contains biomedical voice measurements from 31 individuals, 23 of whom have Parkinson's disease (PD). Classes correspond to healthy = 0 and with PD = 1.
Usage
1
Format
A list with entries $x (a 195x22 matrix with each row corresponding to an individual case) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering.
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This dataset contains biomedical voice measurements from 31 individuals, 23 of whom have Parkinson's disease (PD). Classes correspond to healthy = 0 and with PD = 1.
Usage
1 |
Format
A list with entries $x (a 195x22 matrix with each row corresponding to an individual case) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering.
R Package Documentation
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