From: Clustering gene-expression data with repeated measurements
Clustering algorithms | Similarity measures | Approach to repeated data |
---|---|---|
Hierarchical agglomerative (average linkage, centroid linkage, complete linkage, single linkage) | Correlation/distance | Average over repeated measurements variability-weighted similarity. Force into the same subtree (FITSS)* |
k-means | Correlation/distance | Average over repeated measurements variability-weighted similarity |
CAST | Correlation/distance | Average over repeated measurements variability-weighted similarity |
DIANA (hierarchical divisive) | Correlation/distance | Average over repeated measurements variability-weighted similarity |
MCLUST-HC†| None | Average over repeated measurements. Force into the same subtree (FITSS)* |
IMM | None | Built-in error models (spherical, elliptical) |