Unsupervised learning on scientific ocean drilling datasets from the South China Sea

Keyphrases

• South China Sea 100%
• Unsupervised Learning 100%
• Unsupervised Learning Techniques 100%
• Lithological Units 100%
• Data Cluster 100%
• Scientific Ocean Drilling 100%
• Geologic Time Scale 100%
• Random Forest 66%
• K-means 66%
• Self-organizing Map 66%
• Prediction Method 33%
• Training Data 33%
• Machine Learning Techniques 33%
• Popular 33%
• Hierarchical Clustering 33%
• Distance Metric 33%
• Sediment Core 33%
• Supervised Learning Method 33%
• Unsupervised Machine Learning 33%
• Compact Data 33%
• Automatic Processing 33%
• Geophysical Datasets 33%
• Processing Tool 33%
• Drilling Data 33%
• Data Pattern 33%
• Connected Data 33%
• Ocean Floor 33%
• Sample Training 33%

Earth and Planetary Sciences

• Self Organizing Map 100%
• South China Sea 100%
• China 50%
• Machine Learning 50%
• Sediment Core 50%
• Supervised Learning 50%
• Sea Bed 50%