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EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 7 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
IDA
2003
Springer
14 years 28 days ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...
AINA
2007
IEEE
13 years 11 months ago
On the Design of an Efficient Architecture for Supporting Large Crowds of Autonomous Agents
Crowd simulations require both rendering visually plausible images and managing the behavior of autonomous agents. Therefore, these applications need an efficient design that allo...
Miguel Lozano, Pedro Morillo, Juan M. Orduñ...
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 6 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ICCNMC
2005
Springer
14 years 1 months ago
Hierarchical Multicast Tree Algorithms for Application Layer Mesh Networks
This paper proposes a set of novel multicast algorithms for m-D mesh overlay networks that can achieve shorter multicast delay and less resource consumptions. In contrast to previo...
Weijia Jia, Wanqing Tu, Jie Wu