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High resolution radar system usually has a massive amount of raw data, so we have to carry out data fusion as quickly as possible. In this paper, we propose a fast clustering algorithm based on single dimensional distance calculation. The proposed algorithm divides raw data into subsets by single dimensional distance, and then merges subsets according to single dimensional distance and set-density...
The scale of spatial data is usually very large. Clustering algorithm needs very high performance, good scalability, and able to deal with noise data and high-dimensional data. Proposed a quickly clustering algorithm based on one-dimensional distance calculation. The algorithm first partitions space-sets by one-dimensional distance, then clusters space-sets by set-distance and set-density. Next, uses...
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