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With the development of Smart Grid Technology, more and more electric power sensor data are utilized in various electric power systems. To guarantee the effectiveness of such systems, it is necessary to ensure the quality of electric power sensor data, especially when the scale of electric power sensor data is large. In the field of large-scale electric power sensor data cleaning, the computational...
There are many multi-type relational datasets, the objects in which are multi-type and interrelated. Many clustering methods for this kind of data have been proposed, but because of the complexity of data and relationships, most algorithms have efficiency and scalability problem. To address this difficulty, in this paper a two-stage clustering algorithm for multi-type relational data (TSMRC) has been...
In many data mining tasks, there is a large supply of unlabeled data but limited labeled data since it is expensive generated. Therefore, a number of semi-supervised clustering algorithms have been proposed, but few of them are specially designed for multi-type relational data. In this paper, a semi-supervised k-means clustering algorithm for multi-type relational data is proposed, which is based...
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