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PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
16 years 21 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...
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
16 years 18 days ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
16 years 18 days ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
16 years 1 days ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
ICDM
2003
IEEE
118views Data Mining» more  ICDM 2003»
15 years 12 months ago
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
In this work, we show that Kleinberg’s hubs and authorities model is closely related to both correspondence analysis, a well-known multivariate statistical technique, and a parti...
François Fouss, Marco Saerens, Jean-Michel ...