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FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
15 years 10 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
CLUSTER
2009
IEEE
16 years 1 months ago
Message passing for GPGPU clusters: CudaMPI
—We present and analyze two new communication libraries, cudaMPI and glMPI, that provide an MPI-like message passing interface to communicate data stored on the graphics cards of...
Orion S. Lawlor
ICCBR
2007
Springer
16 years 28 days ago
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
Abstract. Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although th...
Albert Fornells, Elisabet Golobardes, Josep Maria ...
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
16 years 27 days ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
16 years 4 days ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai