KernelCombinations combine different kernels, allowing the possibility to simultaneously exploit different data representations. Details on these kernels can be found in (Shawe-Taylor and Cristianini, 2004).

### Linear Kernel Combination

**Java class**: LinearKernelCombination

**Source code**: LinearKernelCombination.java

**Maven Project**: kelp-core

**JSON type**: linearComb

**Description**: given a set *n* of kernels , it computes the weighted sum of the kernel similarities:

where are the parametrizable weights of the combination.

**Parameters**:

*toCombine*: the kernels that must be combined*weights*: the coefficient*c*in the kernel combination

### Kernel Multiplication

**Java class**: KernelMultiplication

**Source code**: KernelMultiplication.java

**Maven Project**: kelp-core

**JSON type**: multiplication

**Description**: given a set *n* of kernels , it computes the product of the kernel similarities:

**Parameters**:

*toCombine*: the kernels that must be combined

### References

John Shawe-Taylor and Nello Cristianini. *Kernel Methods for Pattern Analysis*. Cambridge University Press, New York, NY, USA, 2004. ISBN 0521813972.