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EVENT CLUSTERING amp; EVENT SERIES CHRACTERIZATION ON EXPECTED FREQUENCY
EVENT CLUSTERING amp; EVENT SERIES CHRACTERIZATION ON EXPECTED FREQUENCY
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机译:预期频率的事件聚类和事件系列表征
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摘要
A method for clustering time stamps in time series data includes receiving a one-dimensional array of ordered timestamps and an expected frequency; determining a set of time intervals; determining a first binary array that indicates whether each time interval in the set of time intervals is greater than or less than the expected frequency; determining a second binary array of differences between a corresponding pair of adjacent elements of the first binary array; appending an ith timestamp to one of a set of opening interval bounds, a set of closing interval bounds, or a set of isolated points; merging the set of set of opening interval bounds and the set of closing interval bounds into a set of cluster intervals τ; and outputting the set of cluster intervals and the set of isolated points.
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