From: A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2
Clustering algorithm | No. of incorrectly clustered instances | % of incorrectly clustered instances |
---|---|---|
Canopy cluster | 267 | 32.4029% |
EM with free no. of clusters | 409 | 49.6359% |
EM with 2 clusters | 224 | 27.1845% |
Farthest First | 278 | 33.7379% |
K-means | 315 | 38.2282% |
Hierarchical clustering class | 307 | 37.2573% |