| | | |
Without screening
|
With screening
|
|---|
|
AR(1) parameter
|
Method
|
J
|
Error
|
Sil
|
ARI
|
Error
|
Sil
|
ARI
|
Sensitivity
|
Specificity
|
FDR
|
FNR
|
|
p = 0.1
|
FC*
|
2
|
.037
|
.509
|
.909
|
.015
|
.560
|
.918
|
.878
|
.723
|
.121
|
.276
|
| |
3
|
.020
|
.471
|
.921
|
.016
|
.484
|
.932
|
.860
|
.783
|
.139
|
.216
|
| |
4
|
.015
|
.430
|
.963
|
.017
|
.438
|
.937
|
.863
|
.842
|
.136
|
.157
|
| |
5
|
.015
|
.388
|
.964
|
.014
|
.403
|
.944
|
.854
|
.798
|
.145
|
.201
|
| |
8
|
.015
|
.305
|
.964
|
.017
|
.317
|
.940
|
.851
|
.836
|
.148
|
.163
|
|
GPR**
| | | |
.855
|
.779
|
.220
|
.144
|
|
p = 0.2
|
FC
|
2
|
.052
|
.471
|
.871
|
.021
|
.523
|
.875
|
.871
|
.722
|
.128
|
.277
|
| |
3
|
.036
|
.423
|
.912
|
.026
|
.443
|
.888
|
.846
|
.783
|
.153
|
.217
|
| |
4
|
.029
|
.386
|
.931
|
.028
|
.398
|
.895
|
.847
|
.839
|
.152
|
.160
|
| |
5
|
.027
|
.348
|
.935
|
.022
|
.366
|
.906
|
.837
|
.798
|
.162
|
.205
|
| |
8
|
.028
|
.274
|
.936
|
.029
|
.287
|
.895
|
.830
|
.836
|
.169
|
.163
|
|
GPR
| | | |
.826
|
678
|
.321
|
.173
|
|
p = 0.3
|
FC
|
2
|
.073
|
.430
|
.822
|
.030
|
.487
|
.815
|
.863
|
.723
|
.136
|
.276
|
| |
3
|
.056
|
.380
|
.865
|
.042
|
.402
|
.814
|
.828
|
.783
|
.171
|
.217
|
| |
4
|
.052
|
.339
|
.875
|
.045
|
.356
|
.825
|
.827
|
.834
|
.172
|
.165
|
| |
5
|
.049
|
.306
|
.883
|
.036
|
.326
|
.845
|
.817
|
.790
|
.182
|
.209
|
| |
8
|
.047
|
.244
|
.888
|
.049
|
.257
|
.823
|
.803
|
.832
|
.196
|
.167
|
|
GPR
| | | |
.798
|
.571
|
.428
|
.201
|
|
p = 0.5
|
FC
|
2
|
.159
|
.340
|
.610
|
.056
|
.414
|
.633
|
.835
|
.717
|
.165
|
.201
|
| |
3
|
.139
|
.287
|
.663
|
.093
|
.329
|
.591
|
.775
|
.768
|
.224
|
.231
|
| |
4
|
.124
|
.255
|
.702
|
.113
|
.280
|
.578
|
.766
|
.811
|
.233
|
.188
|
| |
5
|
.132
|
.226
|
.682
|
.093
|
.259
|
.615
|
.762
|
.773
|
.237
|
.226
|
| |
8
|
.143
|
.181
|
.649
|
.134
|
.205
|
.562
|
.730
|
.815
|
.269
|
.184
|
|
GPR
| | | |
.756
|
.410
|
.589
|
.244
|
|
p = 0.7
|
FC
|
2
|
.266
|
.287
|
.345
|
.088
|
.357
|
.351
|
.755
|
.704
|
.244
|
.295
|
| |
3
|
.264
|
.224
|
.347
|
.153
|
.272
|
.314
|
.682
|
.738
|
.317
|
.261
|
| |
4
|
.258
|
.190
|
.370
|
.186
|
.230
|
.303
|
.668
|
.771
|
.331
|
.228
|
| |
5
|
.258
|
.171
|
.375
|
.161
|
.211
|
.317
|
.676
|
.745
|
.324
|
.255
|
| |
8
|
.267
|
.137
|
.339
|
.220
|
.172
|
.287
|
.641
|
.769
|
.358
|
.230
|
| |
GPR
| | | |
.731
|
.335
|
.664
|
.268
|
- * FC: proposed method with Fourier coefficients, **GPR: Gaussian process regression.
- Comparison of estimation error rate (E), Silhouette width (S) and Adjusted Rand Index (ARI) values of model-based clustering without screening vs with screening with J Fourier coefficients including sensitivity, specificity, FDR and FNR with m = 20 time points. These summaries are based on 500 repetitions of each consisting of 800 curves with AR(1) parameter ρ’s with the noise standard deviation σ = 0.5.
