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Ball mill pulverizing system (BMPS) is an important equipment in the thermal power plant and working conditions classification is the premise of realizing the control optimization. This paper proposes working conditions classification of ball mill pulverizing system based on quantum cat swarm optimization clustering algorithm. Firstly, this algorithm creates N cats, representing N kinds of data classifications...
Outlier detection is an important procedure in industrial dataset preprocess to guarantee the industrial process operating normally. This paper proposed a new local density definition in the basis of the minimum hyper sphere for outlier mining algorithm. First, the novel local k-density definition of an object is proposed by using the minimum enclosing hyper sphere algorithm. After this, the new k-density...
We generalize the label propagation algorithm in complex networks to weighted networks by weighting the label propagation rule and the termination condition of label propagation algorithm. Experiments on computer-generated networks and real-world networks are carried out to compare the generalized algorithm with original algorithm. The results show the generalized algorithm is accurate, and the number...
Outlier mining is an important work of data mining and a density-similarity-neighbor based outlier factor (DSNOF) algorithm is proposed to indicate the degree of outlier-ness of an object. The proposed algorithm calculates the densities of an object and its neighbors and constructs the similar density series (SDS) in the neighborhood of the object. Based on the SDS, the proposed algorithm computes...
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