Determine the initial parameters to feed to model

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Reference no: EM133234638

You are given unsupervised data that is all numeric.

Your goal is to create a model that can group like data so you can determine if new data points are like data points in your initial data set.

This question is generic, but you can use Ecoli Data Set as an example.

The example dataset is labeled but answer as if it is not.

What learning technique would you use to create a model?

How will you determine the initial parameters to feed to the model?

How can you measure the model and compare it to models using different initialization parameters?

Reference no: EM133234638

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