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변수추출을 활용한 비지도학습 군집화의 성능 향상 연구

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Machine_data_unsupervised

Improvement of clustering by using feature extraction

  • Worked at ETRI
  • Participate in Summer Conference of IKEEE.
  • This files conduct feature extraction and compare performance (Kmeans, BIRCH, GMM etc).
  • This project using dryer machine data in factory.

To run this code,

  • Prepare dataset(KAMP) and fix path(drying_machine.py - data loading)
  • Set environment
  • python drying_machine.py or make drying on Linux

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변수추출을 활용한 비지도학습 군집화의 성능 향상 연구

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