An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach

Author:

Mojahed AalaaORCID,de la Iglesia Beatriz

Funder

King Abdulaziz University of Saudi Arabia

University of East Anglia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference59 articles.

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3. Akeem OA, Ogunyinka TK, Abimbola BL (2012) A framework for multimedia data mining in information technology environment. Int J Comput Sci Inf Secur (IJCSIS) 10(5):69–77

4. Baeza-Yates RA, Ribeiro-Neto B (1999) Modern information retrieval. Addison-Wesley Longman Publishing Co. Inc., Boston

5. Berndt DJ, Clifford J (1996) Finding patterns in time series: a dynamic programming approach. In: Fayyad UM, Piatetsky-Shapiro G, Smyth P, Uthurusamy R (eds) Advances in knowledge discovery and data mining. American Association for Artificial Intelligence, Menlo Park, pp 229–248

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