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Table 1 Means and covariance matrices for generating the components of the artificial dataset.

From: Finding reproducible cluster partitions for the k-means algorithm

 

Mean

Covariance Matrix (i,j)

 
 

x

y

z

11

12

13

21

22

23

31

32

33

N

C1

-0.799

-1.011

-3.336

0.336

0.044

0.074

0.044

0.371

0.21

0.074

0.21

0.582

64

C2

-0.441

-0.569

-2.331

0.428

0.06

-0.002

0.06

0.123

0.157

-0.002

0.157

0.648

42

C3

0.649

-0.344

-4.154

0.62

0.023

-0.035

0.023

0.137

0.07

-0.035

0.07

0.446

61

C4

1.077

0.072

-2.815

0.366

-0.002

0.076

-0.002

0.043

0.104

0.076

0.104

0.563

32

C5

-0.39

-0.242

0.256

0.536

0.013

0.031

0.013

0.348

-0.117

0.031

-0.117

0.689

197

C6

-1.358

-0.658

1.639

0.309

-0.06

-0.055

-0.06

0.245

-0.013

-0.055

-0.013

0.532

131

C7

1.261

0.125

0.862

0.323

0.017

0.027

0.017

0.386

-0.06

0.027

-0.06

0.403

163

C8

-0.593

3.024

-0.498

0.776

0.033

0.175

0.033

0.491

0.003

0.175

0.003

0.695

97

C9

0.251

-0.539

-0.53

0.711

-0.025

0.055

-0.025

0.352

-0.081

0.055

-0.081

0.576

106

C10

0.374

-0.267

1.973

0.39

-0.097

0.041

-0.097

0.343

-0.014

0.041

-0.014

0.322

183