A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering
(2014)
Journal Article
Mansouri, T., Ravasan, A., & Gholamian, M. (2014). A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering. International Journal of Data Warehousing and Mining, 10(3), 1. https://doi.org/10.4018/ijdwm.2014070101
One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the algorithm's timely performance to find a fairly good solution, it shows some drawbacks like its dependence on initial conditions and trapping in local... Read More about A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering.