@inbook{89a9aad6e3c741559c0a679cd7e27372,
title = "Multi-layer topology preserving mapping for K-means clustering",
abstract = "In this paper, we investigate the multi-layer topology preserving mapping for K-means. We present a Multi-layer Topology Preserving Mapping (MTPM) based on the idea of deep architectures. We demonstrate that the MTPM output can be used to discover the number of clusters for K-means and initialize the prototypes of K-means more reasonably. Also, K-means clusters the data based on the discovered underlying structure of the data by the MTPM. The standard wine data set is used to test our algorithm. We finally analyse a real biological data set with no prior clustering information available.",
author = "Ying Wu and Doyle, \{Thomas K.\} and Colin Fyfe",
year = "2011",
doi = "10.1007/978-3-642-23878-9\_11",
language = "English",
isbn = "9783642238772",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "84--91",
booktitle = "Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings",
note = "12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011 ; Conference date: 07-09-2011 Through 09-09-2011",
}