You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am reading the source code, but can't understand DBScanModel, the 'detect' method which judge a point whether or not an anomly in DBScanModel.java, it just judges observedValue != expectedValue, so I am confuse if it is useful for using DBScanClusterer to cluster the points.
I am reading the source code, but can't understand DBScanModel, the 'detect' method which judge a point whether or not an anomly in DBScanModel.java, it just judges observedValue != expectedValue, so I am confuse if it is useful for using DBScanClusterer to cluster the points.
if (observedSeries.get(p.getId()).value != expectedSeries.get(p.getId()).value && ((((unixTime - observedSeries.get(p.getId()).time) / 3600) < maxHrsAgo) || (maxHrsAgo == 0 && p.getId() == (n - 1)))) { output.add(new Interval(observedSeries.get(p.getId()).time, p.getId(), errors, thresholdErrors, observedSeries.get(p.getId()).value, expectedSeries.get(p.getId()).value)); }
The text was updated successfully, but these errors were encountered: