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The retrieval of similar cases is carried out by a clustering process; following the arrival of a new case, the cluster is retrieved by applying the belonging probability according to the estimated parameters for expectation maximization.
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For the 'Probable Other Activity' group, the average and standard deviation of probability differences (i.e. the probability of belonging to the 'Work SPV Tag' minus the probability of belonging to the 'Other Activity SPV Tag') was examined for each Activity code.
For example, letting l and l′ be different L-apparatus settings, the probability Pλ l r xl & yr) belongs to one probability space, whereas the probability Pλ l′ r xl′ & yr) belongs to another.
Health profile probabilities represent individuals' probability of belonging to each profile; assignment to one profile proceeds on the basis of their highest health profile probability.
Least-confident sampling: involves choosing the instance with the least probability of belonging to the class with the most probability.
At last, the Bayesian method is presented to calculate the posterior probabilities belonging to each operating mode with sample dependency.
3. Cases with a greater than 0 probability of belonging to the 'Work SPV Tag' and a greater than 0 probability of belonging to the 'Other Activity SPV Tag', where the probability belonging to the 'Work SPV Tag' was less than the probability of belonging to the 'Other Activity SPV Tag' were classified as 'Probable Other Activity'.
2. Cases with a greater than 0 probability of belonging to the 'Work SPV Tag' and a greater than 0 probability of belonging to the 'Other Activity SPV Tag', where the probability of belonging to the 'Work SPV Tag' was higher than or equal to the probability of belonging to the 'Other Activity SPV Tag' were classified as 'Probable Work Activity'.
Also, class membership was regressed on SES, so that SES predicted the log odds of the probability of belonging to a given class compared with the probability of belonging to another class.
For each sample, the probability of belonging to a particular cluster was calculated by probability decomposition of the co-occurrence matrix.
In the present case, it will give a 99/207 = 0.48 probability of belonging to the motor category, a 49/207 = 0.24 probability of belonging to the instrument-like category, and a 59/207 = 0.28 probability of belonging to the impact category).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com