7 votes
Accepted

Why do I get different results after shuffling data using DBSCAN

DBSCAN is not entirely deterministic, because the order in which the data are processed can change DBSCAN results. From wikipedia: From wikipedia: "DBSCAN is not entirely deterministic: border ...
  • 81.2k
2 votes
Accepted

How can I verify that my algorithm finds the minimum of a convex program?

The safest way to test an algorithm of this kind is to compute your results in cases where you can derive the minimum exactly through analytic methods (i.e., without relying on comparison with another ...
  • 102k
2 votes

What unequal probability sampling methods exist for weights which are extremely different from each other?

For Monte Carlo Simulations, there is a whole branch of research dealing with what is called "rare event sampling". Rare events are events which have low chance to occur (or in your language ...
  • 197
1 vote
Accepted

What unequal probability sampling methods exist for weights which are extremely different from each other?

This sounds similar to a problem in finance / stock index arbitrage, where one may want to "sample" a small number of assets in a large portfolio to estimate (or "track") the ...
  • 1,626
1 vote

Rule-Based and Tree-Based Statistical Models

Rule-based classifier cannot by greedy by definition, IMHO, since they involve only 1 "node". Hence, any rule-based classifier should fulfil what you need. Then, it depends what are your ...

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