makeGramMatrix
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makeGramMatrix
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The makeGramMatrix function returns the N by N matrix containing the
dot products of the row vectors in the input {NumMatrix}, known as the
Gram matrix. The makeGramMatrix function will only receive a number matrix
and always returns a new number Matrix containing the result. The input argument {NumMatrix} must be an N by M number matrix representing the
original independent variable observations (the dependent variable is omitted) in the
form of: The output argument will be an N by N number matrix containing the dot products of the
row vectors of the original observation matrix X, where:
G[r,c] = vectorDotProduct(rowX[r],rowX[c]). If the optional dependent variable number vector is included, The output argument will
be an N by N+1 number matrix containing the dot products of the row vectors of the
original observation matrix X, where:
G[r,c] = vectorDotProduct(rowX[r],rowX[c]), plus the N+1th column will contain
the original dependent values. Usage The makeGramMatrix functionis a non-destructive function useful when you want
to create a Gram matrix in preparation for dual form regression. See Cristianini,
"Support Vector Machines", page 169.
x x x x... y
x x x x... y
....
x x x x... y
(makeGramMatrix NumMatrix) A new number Matrix object containing the dot products of the row vectors of the
original observation matrix.
Expression:
Arguments
Name
Type
Description Argument: NumMatrix NumMatrix
Matrix containing the original independent observations
Returns:
Here are a number of links to Lambda coding examples which contain this instruction in various use cases.
Here are the links to the data types of the function arguments.
| NumMatrix | Vector |
Here are also a number of links to functions having arguments with any of these data types.
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