Timeline for Which clustering or distance metric is appropriate?
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
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| Oct 29, 2015 at 20:55 | comment | added | user78229 | The LC model would cross-classify the types by ignoring the device IDs, thereby creating the "inherent variability" needed to partition the residual. | |
| Oct 29, 2015 at 20:53 | comment | added | HEITZ | the difference, I think, is that I have no real inherent variability in the data. In the illicit drug example, the latent classes use information from the distribution of respondents, whereas I am basically considering each device ID independently. | |
| Oct 29, 2015 at 20:46 | history | answered | user78229 | CC BY-SA 3.0 |