In this paper, we describe a novel automatic cluster analysis method for symbolic music. The method contains both a surface level and a paradigmatic level analysing block and work...
: User interfaces to WWW search engines typically present results as ranked lists of documents. Such lists give users little help in understanding document variation: we propose a ...
Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas W...
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...