 | 2011 |
|---|
| 8 |       | Karsten Luebke,
Claus Weihs:
Linear dimension reduction in classification: adaptive procedure for optimum results.
Adv. Data Analysis and Classification 5(3): 201-213 (2011) |
| 2006 |
|---|
| 7 | | Irina Czogiel,
Karsten Luebke,
Marc Zentgraf,
Claus Weihs:
Localized Linear Discriminant Analysis.
GfKl 2006: 133-140 |
| 2005 |
|---|
| 6 | | Gero Szepannek,
Karsten Luebke,
Claus Weihs:
Understanding Patterns with Different Subspace Classification.
MLDM 2005: 110-119 |
| 5 | | Karsten Luebke,
Claus Weihs:
Improving feature extraction by replacing the Fisher criterion by an upper error bound.
Pattern Recognition 38(11): 2220-2223 (2005) |
| 2004 |
|---|
| 4 | | Nils Raabe,
Karsten Luebke,
Claus Weihs:
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results.
GfKl 2004: 200-207 |
| 3 | | Gero Szepannek,
Karsten Luebke:
Different Subspace Classification.
GfKl 2004: 224-231 |
| 2 | | Karsten Luebke,
Claus Weihs:
Generation of prediction optimal projection on latent factors by a stochastic search algorithm.
Computational Statistics & Data Analysis 47(2): 297-310 (2004) |
| 2003 |
|---|
| 1 | | Karsten Luebke,
Claus Weihs:
Testing a Simulated Annealing Algorithm in a Classification Problem.
SAGA 2003: 61-70 |
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