TABLE 2.
Six Applications with K-means solutions
| Application | Data transformation | Distance function | Label assignment | Centroid updating |
|---|---|---|---|---|
| Iterative subspace projection and clustering [179] | ✓ | |||
| K-means-based consensus clustering [151], [168], [169] | ✓ | ✓ | ||
| Spectral ensemble clustering [96], [102] | ✓ | ✓ | ||
| Partition level constrained clustering [94], [101] | ✓ | ✓ | ✓ | |
| Structure-preserved domain adaptation [99], [97] | ✓ | ✓ | ✓ | |
| Clustering with outlier removal [95] | ✓ | ✓ | ✓ |