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The technological process of the water distributor flow deployment has mixed features of strong non-linearity, tough interference of multilayer coupling and complex models in Water Injection Well. The traditional model-based control strategies cause many problems (e.g. system instability, high time-consuming deployment, pressure built up in pipeline), which make it difficult to meet the expected requirements...
Most text classification methods are highly complicated on computation and can not be used on the occasion of classifying a large number of texts. A novel approach based on multi-population collaborative optimization was proposed for the extraction of text classification rules. The mutual information was applied to generate the initial populations and the multi-population collaborative optimization...
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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