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Table 2 Accuracy evaluation for higher dimensional data sets

From: A parallel ADMM-based convex clustering method

Data size

\(\gamma\)

\(\epsilon ^{\star }\)

Clusters ADMM-based convex clustering-like method

Clusters k-means

ADMM-based convex clustering-like method s.score

k-means s.score

\(1000 \times 3\)

5.0

4

8

8

0.76

0.76

\(5000 \times 3\)

6.6

2

4

4

0.77

0.78

\(5000 \times 5\)

6.6

2

5

4

0.62

0.75

\(10{,}000 \times 3\)

6

5

10

10

0.69

0.75