| 摘要 |
A method for clustering multi-dimensional data streams includes: when data elements are input, determining 1-D subclusters and assigning identifiers to the determined 1-D subclusters; (b) generating a matching set that is a set of identifiers of the 1-D subclusters where each dimensional value of the data elements belongs to the range of the 1-D subclusters of the corresponding dimensions; and (c) determining subclusters by finding a set of frequently co-occurring 1-D subclusters among a set of 1-D subclusters that belong to the generated matching set. With the present invention, the processing time required to find the subclusters can be improved and the performance of the memory is further improved.
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