Hey Guys I have about million points per chromosome that are basically putative start and end regions of transcripts. My goal is to cluster them with some unsupervised learning algorithm like DBSCAN (open to suggestions) which can handle big datasets in O(nlogn) time if possible, treating each start/end point as X,Y coordinates. Any ideas ? I need to make sure I dont overshoot the memory during distance calculation. What I would like to get out is set of clusters with number of points in each which will give me a putative set of transcript (may be fragmented) from these points. Thanks! -Abhi