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LinearBinner

A very basic clustering-like method. Bins each column in N number of bins. Bins are based on z-scores. First bin starts from MEAN-3*SD and last bin ends at MEAN+3*SD. Bin breaks are linearly distributed.

ClusterId is a unique numerical representation of the bin in N-D space. The columns in the input data are assumed to be in most-meaningful-first order.

Non-numeric columns are skipped.

Version 1.0
Bundle tools
Categories Clustering
Authors Ville Rantanen (ville.rantanen@helsinki.fi)
Issue tracker View/Report issues
Requires R
Source files component.xml binning.r
Usage Example with default values

Inputs

Name Type Mandatory Description
in CSV Mandatory Matrix data.

Outputs

Name Type Description
binned CSV Bin ID for each column.
cluster CSV Cluster ID for each row.

Parameters

Name Type Default Description
N int 2 Number of bins.

Test cases

Test case Parameters IN
in
OUT
binned
OUT
cluster
case1 properties in binned cluster

N=3


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