function [result] = blended_spectrum_bf(s,t,p) %BLENDED_SPECTRUM_BF % -Finds the contiguous subsequence match count between strings s and t % by using a brute-force approach, for all substrings of length <= p. % -This program does not take into account gap penalties. % *(There is also a dynamic programming implementation of this algorithm. % Type help blended_spectrum for info.) % % K[p](s,t) = [Summation of h from 1 to p] % [Summation of i from 1 to |s|-p+1] % [Summation of j from 1 to |t|-p+1] % delta(s(i:i+p+1),t(j:j+p+1)), % % (where delta is the identity function, which returns % 1 if the arguments are equal, and 0 otherwise.) % % -Example: blended_spectrum_bf('abccc','abc', 2) returns a value of 7. % (Note that blended_spectrum_bf('abccc','abc',2)=blended_spectrum_bf('abc','abccc',2) since K(s,t,p) = K(t,s,p) ). % -Example: blended_spectrum_bf('a','a', 1) returns a value of 1. % -Example: blended_spectrum_bf('a','a', 2) returns a value of 4. % -Example: blended_spectrum_bf('a','b', 1) returns a value of 0. % -Example: blended_spectrum_bf('ab','ab', 1) returns a value of 2. % % % %USAGE: scalar = blended_spectrum_bf('string1','string2', p); % (where p is the length of the substring ) % % [scalar, matrix] = p_spectrum('string1,'string2', p); % % %For more information, visit http://www.kernel-methods.net %Written and tested in Matlab 6.0, Release 12. %Copyright 2003, Manju M. Pai 4/2003 %manju@kernel-methods.net %------------------------------------------------------------------------------------------ %Obtain lengths of strings [num_rows_s, n] = size(s); [num_rows_t, m] = size(t); %Initialize result variable result = 0; %Error checking statements: %Make sure input vectors are horizontal. if (num_rows_s ~= 1 | num_rows_t ~= 1) error('Error: s and t must be horizontal vectors.'); end; %If p is less than zero or not a number, program should quit due to faulty variable input. if p <= 0 | ischar(p) error('Error: p needs to be a number greater than 0.'); end; %End of error checking %Implement the algorithm with double 'for' loops. for h=1:p for i=1:(n-h+1) for j=1:(m-h+1) result = result + strcmpi( s(i:(i+h-1)), t(j:(j+h-1)) ); end; end; end; %End of algorithm