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  2. Text normalization - Wikipedia

    en.wikipedia.org/wiki/Text_normalization

    Text normalization is the process of transforming text into a single canonical form that it might not have had before. Normalizing text before storing or processing it allows for separation of concerns, since input is guaranteed to be consistent before operations are performed on it. Text normalization requires being aware of what type of text ...

  3. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    In another usage in statistics, normalization refers to the creation of shifted and scaled versions of statistics, where the intention is that these normalized values allow the comparison of corresponding normalized values for different datasets in a way that eliminates the effects of certain gross influences, as in an anomaly time series. Some ...

  4. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Selecting the target range depends on the nature of the data. The general formula for a min-max of [0, 1] is given as: [3] ′ = () where is an original value, ′ is the normalized value. For example, suppose that we have the students' weight data, and the students' weights span [160 pounds, 200 pounds].

  5. Data transformation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    In the lower plot, both the area and population data have been transformed using the logarithm function. In statistics, data transformation is the application of a deterministic mathematical function to each point in a data set—that is, each data point z i is replaced with the transformed value y i = f(z i), where f is a function.

  6. Quantile normalization - Wikipedia

    en.wikipedia.org/wiki/Quantile_normalization

    To quantile normalize two or more distributions to each other, without a reference distribution, sort as before, then set to the average (usually, arithmetic mean) of the distributions. So the highest value in all cases becomes the mean of the highest values, the second highest value becomes the mean of the second highest values, and so on.

  7. I Serve This 3-Ingredient Drink At Every Holiday Gathering

    www.aol.com/serve-3-ingredient-drink-every...

    How To Make It. Think of it as a merry take on a mimosa: Pour 2 (or 3) parts Prosecco or Champagne to 1 part pomegranate juice in a flute, then plop in a sprig of fresh rosemary for garnish. That ...

  8. Cat Can’t Fight Temptation to ‘Make Biscuits’ on Newborn ...

    www.aol.com/cat-t-fight-temptation-biscuits...

    "I have to fight with my cat everyday to not sit on my baby or make biscuits on him," she joked in the video's text overlay. Unfortunately, the mom "just gave up at the end," she wrote. "[My cat ...

  9. Normal curve equivalent - Wikipedia

    en.wikipedia.org/wiki/Normal_curve_equivalent

    In educational statistics, a normal curve equivalent (NCE), developed for the United States Department of Education by the RMC Research Corporation, [1] is a way of normalizing scores received on a test into a 0-100 scale similar to a percentile rank, but preserving the valuable equal-interval properties of a z-score.

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