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Unknown word recognition is a key issue in Chinese information processing. The traditional algorithms of unknown word recognition can be broadly classified into two types: the rule-based methods and the statistical methods. However, these algorithms have some limitations in identifying the unknown words which are created on Internet. The unknown words of Internet have no obvious rules and are composed...
This paper proposes an improved K-Modes clustering method based on Chi-square statistics, using Chi-square statistics to characterize the relationship between the attributes of data objects. On this basis, the new distance measure is proposed, The distance measure method not only take into account the value of an attribute of an object different from itself, but also take into account other attributes'...
Mutual Information (MI) is a classical and widely used dependence measure that generally can serve as a good feature selection algorithm. However, under-sampled classes or rare but certain relations are overlooked by this measure, which can result in missing relevant features that could be very predictive of variables of interest, such as certain phenotypes or disorders in biomedical research, rare...
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