Distance and Similarity Measures-Reference-Cited by-同舟云学术

Distance and Similarity Measures

Published:2014 Issue: Volume: Page:385-400
ISSN:
Container-title:Encyclopedia of Social Network Analysis and Mining
language:
Short-container-title:

Author:

Mulekar Madhuri S.,Brown C. Scott

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4614-6170-8_141

Reference47 articles.

1. Adamson GW, Boreham J (1974) The use of an association measure based on character structure to identify semantically related pairs of words and document titles. Inf Storage Retr 10(7–8):253–260

2. Alt H, Behrends B, Blömer J (1995) Approximate matching of polygonal shapes. Ann Math Artif Intell 13(3):251–265

3. Can F, Ozkarahan EA (1985) Concepts of the cover coefficient-based clustering methodology. In: Proceedings of the 8th annual international ACM SIGIR conference on research and development in information retrieval, Montreal, pp 204–211

4. Cerra D, Datcu M (2012) A fast compression-based similarity measure with applications to content-based image retrieval. J Vis Commun Image Represent 23(2):293–302

5. Cilibrasi R, Vitanyi PMB (2007) The google similarity distance. IEEE Trans Knowl Data Eng 19(3):370–383

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Fold-LTR-TCP: protein fold recognition based on triadic closure principle;Briefings in Bioinformatics;2019-12-08

3. A Primer of Statistical Methods for Classification;STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health;2019