@inproceedings{d5482480ae55401c950e21b879196797,

title = "An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations",

abstract = "This paper presents an analysis of the number of iterations K-Means takes to converge under different initializations. We have experimented with seven initialization algorithms in a total of 37 real and synthetic datasets. We have found that hierarchical-based initializations tend to be most effective at reducing the number of iterations, especially a divisive algorithm using the Ward criterion when applied to real datasets",

author = "{Cordeiro De Amorim}, Renato",

year = "2013",

doi = "10.1007/978-3-642-37807-2_2",

language = "English",

isbn = "978-3-642-37806-5",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "15--26",

booktitle = "Advances in Artificial Intelligence",

note = "11th Mexican Int Conf on Artificial Intelligence - MICAI 2012 ; Conference date: 27-10-2012 Through 04-11-2012",

}