Research Article
Pruning Growing Self-Organizing Map Network for Human Physical Activity Identification
Algorithm 1
Class Calibration Algorithm.
| Input: Neuron distribution map (Φ), Dataset (X), Label of Dataset | | Parameter: Similarity threshold (T) | | Process: | (1) | for neuron in Φ | (2) | calculate the distance di between the weight of neuron and X | (3) | if min {di} ≥ T | (4) | neuron is inactive | (5) | else | (6) | neuron gets the label of the most similar sample x | (7) | end if | (8) | end for | | Output: Labeled Neuron distribution map (Φ) |
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