Fuzzy c-Means Algorithms for Very Large Data
By Timothy Craig Havens, James C. Bezdek, C. Leckie, L. Hall, Marimuthu Swami Palaniswami. IEEE transactions on fuzzy systems, 2012
479 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/8464e0b19faa8d230864a93e41bd5c26a45a5a4e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Muhammad Syafrudin
- Norma Latif Fitriyani
- Ganjar Alfian
- Jongtae Rhee
Citations in the corpus
- Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing (2018, background): “Davenport et al. focused more on the variety aspect of data sources [93], while some other authors emphasized the storage (volume) and analysis parts when it comes to dealing with big data [94,95].”
- How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study (2015, unknown): “…(Danyel Fisher, DeLine, Czerwinski, & Drucker, 2012) Big Data: data that cannot be handled and processed in a straightforward manner (p. 53 ) (Havens, Bezdek, Leckie, Hall, & Palaniswami, 2012) Big Data: data that you cannot load into your computer’s working memory (p. 1130) (Jacobs, 2009)…”