A similarity matrix is a matrix of scores which express the similarity between two data points. Similarity matrices are used in sequence alignment. Higher scores are given to more-similar characters, and lower or negative scores for dissimilar characters. This similarity matrix compares a recording of TV stream with itself. We can observe that programs can be easily localized because they correspond to blocs of high coefficients around the first diagonal.
No comments:
Post a Comment