Towards general measures of comparison of objects
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
SIAM Journal on Discrete Mathematics
Comparing and aggregating rankings with ties
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Similarity measures for binary and numerical data: a survey
International Journal of Knowledge Engineering and Soft Data Paradigms
Ranking invariance based on similarity measures in document retrieval
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Cognition-Inspired fuzzy modelling
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Hi-index | 0.00 |
In order to help to choose similarity or distance measures for information retrieval systems, we compare the orders these measures induce and quantify their agreement by a degree of equivalence. We both consider measures dedicated to binary and numerical data, carrying out experiments both on artificial and real data sets, and identifying equivalent as well as quasi-equivalent measures that can be considered as redundant in the information retrieval framework.