A unified view of density-based methods for semi-supervised clustering and classification
نویسندگان
چکیده
منابع مشابه
Semi-supervised clustering methods
Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, informat...
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ژورنال
عنوان ژورنال: Data Mining and Knowledge Discovery
سال: 2019
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-019-00651-1