@inproceedings{14a4de25d6f143619eb13f8233006224,
title = "An analysis of the application of simplified silhouette to the evaluation of k-means clustering validity",
abstract = "This paper analyses the application of Simplified Silhouette to the evaluation of k-means clustering validity and compares it with the k-means Cost Function and the original Silhouette. We conclude that for a given dataset the k-means Cost Function is the most valid and efficient measure in the evaluation of the validity of k-means clustering with the same k value, but that Simplified Silhouette is more suitable than the original Silhouette in the selection of the best result from kmeans clustering with different k values.",
keywords = "Cost function, K-means, Silhouette, Simplified silhouette",
author = "Fei Wang and Franco-Penya, {Hector Hugo} and Kelleher, {John D.} and John Pugh and Robert Ross",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017 ; Conference date: 15-07-2017 Through 20-07-2017",
year = "2017",
doi = "10.1007/978-3-319-62416-7_21",
language = "English",
isbn = "9783319624150",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "291--305",
editor = "Petra Perner",
booktitle = "Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, Proceedings",
address = "Germany",
}