Data Import and Analysis > Preprocessing Data

19 functions in MATLAB › Data Import and Analysis > Preprocessing Data.

`accumarray`	Groups values by index and sums each group.
`fillmissing2`	Fills missing entries of a matrix using the surrounding values in two dimensions.
`filloutliers`	Detects outliers and replaces them with a chosen value.
`histcounts`	Counts how many values fall into each bin.
`histcounts2`	Counts how many pairs of values fall into each two-dimensional bin.
`ischange`	Detects abrupt changes in a data series.
`islocalmax`	Marks the local maxima of a vector.
`islocalmin`	Marks the local minima of a vector.
`isoutlier`	Detects outliers in data.
`missing`	Creates a missing value placeholder that works for any data type.
`movmad`	Moving median absolute deviation over a sliding window.
`movmean`	Moving average over a sliding window.
`movmedian`	Moving median over a sliding window.
`normalize`	Normalizes data, by default to zero mean and unit standard deviation.
`rescale`	Rescales data linearly to a given interval.
`rmoutliers`	Detects outliers and removes them from the data.
`smoothdata`	Smooths noisy data with a chosen method.
`smoothdata2`	Smooths a matrix in two dimensions.
`trenddecomp`	Splits a time series into long-term trend, seasonal and remainder parts.