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FSS
2008
130views more  FSS 2008»
15 years 6 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
NN
2002
Springer
144views Neural Networks» more  NN 2002»
15 years 6 months ago
Projective ART for clustering data sets in high dimensional spaces
A new neural network architecture (PART) and the resulting algorithm are proposed to
Yongqiang Cao, Jianhong Wu
ACL
2010
15 years 4 months ago
SVD and Clustering for Unsupervised POS Tagging
We revisit the algorithm of Sch
Michael Lamar, Yariv Maron, Mark Johnson, Elie Bie...
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
MOBICOM
2009
ACM
16 years 1 months ago
Mobility increases the connectivity of K-hop clustered wireless networks
In this paper we investigate the connectivity for large-scale clustered wireless sensor and ad hoc networks. We study the effect of mobility on the critical transmission range fo...
Qingsi Wang, Xinbing Wang, Xiaojun Lin