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Monitoring the evolution phases of real-time event including occurrence, development, climax, decline and ending is crucial for management department to intuitively and comprehensively understand the event and then make better decisions. However, there have been very few studies on performing phase evolution analysis of event using the number of posts at the specific time unit. The challenge of this...
By integrating image segmentations to form a final image cluster is an effective image process, called image cluster ensemble. The image processing improves the accuracy and stability from traditional single clustering based algorithm. In the paper, we design a novel image partition algorithm, called Cluster Ensemble algorithm by using the K-Means and Nyström Spectral Clustering (CEKMNSC). The algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.