I currently have a csv file in this format. I want to make clusters from it with the condition that the sum of Time of these instances will be between two thresholds (minimum and maximum) to be considered a cluster.
ID point CoordenadaX CoordenadaY Time
100110001 -103.365174 20.709155 42
100110002 -103.443282 20.788031 72
100210001 -103.4478 20.742644 14
100560003 -103.420875 20.75817125 26
100630009 -103.36095 20.736008 20
K-means doesn't take into consideration these things and from what I can understand DBSCAN just sets the least distance required for two points to be considered as a neighbour and the minimum number of points to make a cluster