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» Landscape of Clustering Algorithms
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FSKD
2005
Springer
95views Fuzzy Logic» more  FSKD 2005»
15 years 12 months ago
The Fuzzy Mega-cluster: Robustifying FCM by Scaling Down Memberships
A new robust clustering scheme based on fuzzy c-means is proposed and the concept of a fuzzy mega-cluster is introduced in this paper. The fuzzy mega-cluster is conceptually simila...
Amit Banerjee, Rajesh N. Davé
KES
2000
Springer
15 years 10 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
SIGIR
2003
ACM
15 years 11 months ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 10 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...