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cs.LG2014★ 7 cited
Improving Performance of Self-Organising Maps with Distance Metric Learning Method
Piotr Płoński, Krzysztof Zaremba
Self-Organising Maps (SOM) are Artificial Neural Networks used in Pattern Recognition tasks. Their major advantage over other architectures is human readability of a model. However…
cs.LG2014★ 14 cited
Visualizing Random Forest with Self-Organising Map
Piotr Płoński, Krzysztof Zaremba
Random Forest (RF) is a powerful ensemble method for classification and regression tasks. It consists of decision trees set. Although, a single tree is well interpretable for human…