Frequency histograms comparing the distribution of maximum individual posterior membership probabilities generated in the DAPC analysis based on clustering of the 'pure samples' (see text; dark blue) and a DAPC analysis based on randomized prior cluster assignment (light blue).
For further analysis, each participant was assigned to the cluster for which they had the maximum posterior probability of membership.
Each tumor was automatically classified as estrogen receptor-negative (ER- /HER2+, HER- /HER2+R+ using tHER2+ximum portER+or probability of membership in the clusings.
Each tumor was then automatically classified as ER-positive or ER-negative using the maximum posterior probability of membership to these two clusters.
^ includes console games such as PlayStation, hand held electronic games such as GameBoy and video centre game playing, although there were only 11 non-zero cases for video centre and 41 non-zero cases for hand held games Subjects were assigned to the latent class (cluster) for which they had the maximum posterior probability of membership.
Participants were allocated to the cluster for which they had the maximum posterior probability of membership, which resulted in 274 (42.6%) of participants being allocated to Cluster 1 of which 58 (21.2%) were male, 185 (28.8%) to Cluster 2 of which 100% were male, and 184 (28.6%) to Cluster 3 of which 50 (27.2%) were male.
LCA assigns cases into clusters using model-based posterior membership probabilities estimated by maximum likelihood methods.
The SEM algorithm differs from the CEM algorithm only by the fact that, during the C-step, the individual trajectories are not classified into groups that correspond to the maximum posterior probabilities but classified randomly according to the posterior probabilities of membership; i.e., according to a multinomial trial.
By statistical recognition is meant the feature vector y extracted from test HRRP sample x will be assigned to the class with maximum posterior probability p(c|y), where c ∈ {1,..., C} denotes the class membership.
The test point is classified by the maximum posterior probability.
