For CPSC 480 machine learning class, we had to research a clustering algorithm and attempt to improve it. Our algorithm was the CURE clustering algorithm. CURE (clustering using representatives) is a hierarchical clustering algorithm that uses representative points instead of the centroid for calculating the distance between a cluster.
Hello,Adam.I am very interested in your CPSC-480-CURE-Clustering project, but I cannot get the data set, can you share the data set with me, thank you very much!
Hello,Adam.I am very interested in your CPSC-480-CURE-Clustering project, but I cannot get the data set, can you share the data set with me, thank you very much!