@inproceedings{6f0302bd0c15498ca9a559f9b92f6a84,
title = "Interval-valued centroids in K-Means algorithms",
abstract = "The K-Means algorithms are fundamental in machine learning and data mining. In this study, we investigate interval-valued rather than commonly used point-valued centroids in the K-Means algorithm. Using a proposed interval peak method to select initial interval centroids, we have obtained overall quality improvement of clusters on a set of test problems in the Fundamental Clustering Problem Suite (FCPS).",
keywords = "Clustering, K-Means, interval computing",
author = "Benjamine Nordin and Chenyi Hu and Bernard Chen and Sheng, {Victor S.}",
year = "2012",
doi = "10.1109/ICMLA.2012.87",
language = "English",
isbn = "9780769549132",
series = "Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012",
pages = "478--481",
booktitle = "Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012",
note = "11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 ; Conference date: 12-12-2012 Through 15-12-2012",
}