Continuous Learning Graphical Knowledge Unit for Cluster Identification in High Density Data Sets
نویسندگان
چکیده
منابع مشابه
Continuous Learning Graphical Knowledge Unit for Cluster Identification in High Density Data Sets
Big data are visually cluttered by overlapping data points. Rather than removing, reducing or reformulating overlap, we propose a simple, effective and powerful technique for density cluster generation and visualization, where point marker (graphical symbol of a data point) overlap is exploited in an additive fashion in order to obtain bitmap data summaries in which clusters can be identified v...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2016
ISSN: 2073-8994
DOI: 10.3390/sym8120152