K-means algorithm parallelism to produce high quality clusters in less time
Mahsa Karimi, Seyed Peyman Emadi, Mehdi Agheli
Year of publication: |
2017
|
---|---|
Authors: | Karimi, Mahsa ; Emadi, Seyed Peyman ; Agheli, Mehdi |
Subject: | Data Mining | Kmeans Algorithms | Parallel cring | Quality | Time | Algorithmus | Algorithm | Data mining | Produktqualität | Product quality | Theorie | Theory | Qualitätsmanagement | Quality management |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Early defect detection using clustering algorithms
Bártová, Blanka, (2019)
-
Buffer dimensioning and control stations positioning with a space partitioning-tabu search approach
Ouzineb, Mohamed, (2013)
-
Application of Classification Algorithms for the Assessment of Confirmation to Quality Remarks
Zambuto, Fabio, (2021)
- More ...