Skip to main content
9 events
when toggle format what by license comment
Feb 25, 2016 at 11:22 comment added tushaR Let us continue this discussion in chat.
Feb 25, 2016 at 11:18 comment added Has QUIT--Anony-Mousse You need to write down your task mathematically. What is the objective function that you want to optimize/compute?
Feb 25, 2016 at 11:15 comment added Has QUIT--Anony-Mousse So you have 4 time series that you want to correlate. I don't see clustering there. Clustering would make sense if you have thousand servers and no idea where they are located, and expect them to suffer from data center problems.
Feb 25, 2016 at 11:11 comment added tushaR Okay. My input is 4 time series of the same feature corresponding to 4 servers. The length of each time series is 2000. The objective is to determine that time-series of which servers fall in the same clusters using these series. Can we attain the objective using DBSCAN ?
Feb 25, 2016 at 9:56 comment added Has QUIT--Anony-Mousse To do what? I don't see how you could use DBSCAN to solve anything on your data. Plus, that article is in a low reputation indian spam journal... I would not bother to even read it.
Feb 25, 2016 at 9:39 comment added tushaR I am trying to calculate the parameters based on the algorithm provided in this paper: ijiset.com/v1s4/IJISET_V1_I4_48.pdf
Feb 25, 2016 at 9:26 comment added Has QUIT--Anony-Mousse I think you first need to be clear about what question you are asking. I don't even understand what parameter you are trying to estimate, nor how you mean to use it.
Feb 25, 2016 at 6:32 comment added tushaR So my approach is wrong. I won't argue on this as I was experimenting. Now I know where I am going wrong. Do you think it would help if I use the entire 8000 datapoints as one data set and calculate my parameters based on the distance of every point from the remaining 7999 points?
Feb 24, 2016 at 20:35 history answered Has QUIT--Anony-Mousse CC BY-SA 3.0