@inproceedings{1bf7ac79bf694de9a442e5130d0c1138,
title = "A novel spectral clustering algorithm",
abstract = "In the spectral clustering algorithm, determination of cluster number is a difficult problem. Here an autonomous spectral clustering algorithm is proposed. Eigengap is used to discover the clustering stability and decide automatically the cluster number, which is proved theoretically the rationality of cluster number. A kernel based fuzzy c-means is introduced to spectral clustering algorithm. Finally our algorithm compares with c-means, Ng et.al's algorithm and Francesco et.al's algorithm in the UCI data sets(IRIS data and Wisconsin database). The experiments show our algorithm may get better results.",
keywords = "Cluster number, Eigengap, Kernel, Spectral clustering",
author = "Kan Li and Yushu Liu",
year = "2007",
language = "English",
isbn = "9781601320254",
series = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
pages = "365--368",
booktitle = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
note = "2007 International Conference on Artificial Intelligence, ICAI 2007 ; Conference date: 25-06-2007 Through 28-06-2007",
}