- Tytuł:
- Parallel MCNN (PMCNN) with application to prototype selection on large and streaming data
- Autorzy:
-
Devi, V. S.
Meena, L. - Powiązania:
- https://bibliotekanauki.pl/articles/91686.pdf
- Data publikacji:
- 2017
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
prototype selection
one-pass algorithm
streaming data
distributed algorithm - Opis:
- The Modified Condensed Nearest Neighbour (MCNN) algorithm for prototype selection is order-independent, unlike the Condensed Nearest Neighbour (CNN) algorithm. Though MCNN gives better performance, the time requirement is much higher than for CNN. To mitigate this, we propose a distributed approach called Parallel MCNN (pMCNN) which cuts down the time drastically while maintaining good performance. We have proposed two incremental algorithms using MCNN to carry out prototype selection on large and streaming data. The results of these algorithms using MCNN and pMCNN have been compared with an existing algorithm for streaming data.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 3; 155-169
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł