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(iii)We compare different schemes for direct-path-only scenario, relay-path-only scenario and cooperative scenario, and the numerical results are provided to show the effectiveness joint filter design and cooperative combine operation.
The reasons are mainly as following: 1) in this paper, the set of < key, value > pair in the stage of Map and Reduce of the proposed parallel spectral clustering algorithm is rather reasonable; 2) we add Combine operation after the stage Map, which greatly reduces the communication costs between the master node and slave nodes.
Furthermore, as all operations that we define are commutative and associative, we can make use of Hadoop's intermediary Combine operation when transitioning between the Map phase and Partition, Shuffle, and Sort steps of Hadoop's implementation of the framework.
In the paper, our designed parallelized K-means clustering algorithm mainly consists of Map function and Reduce function, with Combine operation being added after Map function.
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