VISUAL ANALYSIS OF TIME-VARYING MULTIDIMENSIONAL DATA SETS

Abstract. This paper contains a description of computational experiments on the application elastic maps to analysis time-varying volumes textual information. Elastic are considered as tool provide analytical work with information and large arrays data. presents results numerical study data consisting frequencies joint use words from different parts speech, for instance “noun + verb” or “adjective noun”. We consider text collections in Russian experiments. Previously, static were mostly considered. It is them methods visual analytics developed. Nevertheless, comes all time various areas human activity. And practice it necessary know how cluster picture multidimensional volume changes over time. The describes real sets. Such allows analyze evolution structure trace separate cluster.