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Learning Haskell Data Analysis by James Church

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Working with multivariate data

With our desired word list created, we must now compile the feature vector for each user in our database. A feature vector is a set of features representing an entity in our dataset. You can think of a set of feature vectors as a spreadsheet. At the top of our spreadsheet is a listing of columns. The first column contains the first feature, the second column contains the second feature, and so forth. There will be a column per feature in the dataset. The number of columns (or features) in a dataset will be represented by the d variable (which is short for dimensionality). Our example problem utilizes 25 dimensions for every user. Each row represents one full entity in our dataset and will contain 25 listings. The ...

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