Shlomo Geva

Using parallel hierarchical clustering to address spatial big data challenges

2016

Clustering can help to make large datasets more manageable by grouping together similar objects. However, most clustering approaches are unable to scale to very large datasets (e.g. more than 10 million objects). The K-Tree is …