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It leads to two class clusters shown in the N-dimensional feature space with an (N-1 -dimensional N-1 -dimensionalplaN-1 -dimensionall linear classifiertion results may be thyperplaneed.
Both family clusters and class clusters were charted through epidemiological investigation.
Class clusters were defined as three or more AHC cases in one class of students within 7 days.
This was significantly shorter for cases occurring in family clusters than in class clusters (mean±SD: 2.6±3.2 vs. 4.39±4.82 days, p = 0.03), as well as for cases occurring in larger family clusters as opposed to smaller ones (1.2±1.7 days vs. 3.9±4.0 days, p<0.01).
Sampling was originally planned in class clusters (i.e. whole classes selected would be invited to participate).
The idea of "latent" class clusters is that it is not known what exactly is anchoring these clusters.
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Kathleen Martin stood in front of a white board covered with math problems, her class clustered at her feet.
In addition, we carried out a latent class cluster analysis aimed at identifying the different groups present among the interviewees.
Latent class cluster analysis identified two consumer segments with different preference for analytic-rational or intuitive-experiential thinking styles.
In this study, a latent class cluster analysis was conducted to differentiate consumer groups among conventional car buyers based on the latest purchased car's features.
It searches for an optimal discriminant subspace in which samples belonging to same variation-state but different classes are separable, whereas those belonging to different variation-states but same class cluster together.
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