摘要 |
In some examples, a time-series data set can be analyzed and grouped in a fast and efficient manner. For instance, fast grouping of multiple time-series into clusters can be implemented through data reduction, determining cluster population, and fast matching by locality sensitive hashing. In some situations, a user can select a level of granularity for grouping time-series into clusters, which can involve trade-offs between the number of clusters and the maximum distance between two time-series in a cluster. |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
DANG, YINGNONG;WANG, QIANG;ZHAO, QIANCHUAN;WANG, SHULEI;DING, RUI, JUSTIN;FU, QIANG;ZHANG, DONGMEI |