ClusterDF

Cluster analysis of debris flow seismic events and environmental noise signals using DEC and GMM.

Author: Huang Zhiyong
Date: 2025.04.27
Version: 1.0.0

Project Description

ClusterDF focuses on clustering seismic signals from debris flows, rockfalls, and environmental noise using Deep Embedded Clustering (DEC) and Gaussian Mixture Model (GMM) algorithms.
Seismic data were preprocessed using ObsPy, and deep learning models were implemented with TensorFlow.

Data Sources

• Debris flow and environmental noise seismic data:
  https://doi.org/10.12686/sed/networks/xp

• Rockfall seismic data:
  https://landslide.geologycloud.tw/map?locale=en

• Earthquake seismic data:
  STEAD Earthquake Dataset (Mousavi et al., 2019)

Installation

To run this project, you will need to install the following Python packages:

pip install obspy==1.4.1
pip install tensorflow==2.10.0
pip install scikit-learn
pip install numpy
pip install matplotlib