Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data

@inproceedings{Laerhoven2001CombiningTS,
  title={Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data},
  author={Kristof Van Laerhoven},
  booktitle={ICANN},
  year={2001}
}
Many devices, like mobile phones, use contextual profiles like “in the car” or “in a meeting” to quickly switch between behaviors. Achieving automatic context detection, usually by analysis of small hardware sensors, is a fundamental problem in human-computer interaction. However, mapping the sensor data to a context is a difficult problem involving near real-time classification and training of patterns out of noisy sensor signals. This paper proposes an adaptive approach that uses a Kohonen… CONTINUE READING

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