What makes graph data science good for unsupervised or semi-supervised clustering and association?

Short
  • Length: 53 sec

"What makes graph data science a good technique for unsupervised or semi-supervised clustering and association?" In our Ask a Data Scientist series, Senior Data Scientist Nathan Smith explains that graphs work well for unsupervised or semi-supervised clustering and association because they can capture indirect relationships. Watch the video clip for more context.

Learn more: okt.to/3CYarvraphDTAG (opens in a new tab)

Graph Data Science