Global ETD Search
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Showing 1 to 2 of 2 for “"Density-based algorithm"”.
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Semantic interpretation of events in lifelogging
… more manageable, our analysis of this data is based on segmenting each day’s lifelog data into discrete and non-overlapping events corresponding to activities in the wearer’s day. To manage lifelog data at an event level, we define a set of concepts using an ontology which is appropriate to the …
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Understanding methods for internal and external preference mapping and clustering in sensory analysis
… average linkage, and Ward’s method), partitional algorithm (k-means method), nonparametric method versus four manual clustering groups (strict, strict-liking-only, loose, loose-liking-only segments). The manual clusters were extracted according to the most frequently rated highest for best liked …