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Table 3 Clustering method summary

From: Clustering Deviation Index (CDI): a robust and accurate internal measure for evaluating scRNA-seq data clustering

Clustering method

Description

Reference

Hierarchical clustering

Bottom-up procedure to merge closest cells; complete linkage

[3]

K-means

Identify k-centers minimizing the within-cluster sum of squares

[2, 3]

Spectral clustering

Graph-based algorithm: eigenvectors of affinity matrix

[54]

CIDR

Dropout identification\(+\)PCA\(+\)hierarchical clustering

[5]

SC3

Consensus clustering (distance and correlations++PCA and Laplacian++K-means)

[10]

Seurat v3

PCA\(+\)Graph-based algorithm

[8]