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DAWAK
2007
Springer
15 years 4 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
ECCV
2010
Springer
15 years 6 days ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ICML
2009
IEEE
15 years 10 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
MASCOTS
2010
14 years 8 months ago
Cluster-Based Correlated Data Gathering in Wireless Sensor Networks
—We consider the problem of optimal cluster-based data gathering in Wireless Sensor Networks (WSNs) when nearby readings are spatially correlated. Due to the dense nature of WSNs...
Ali Dabirmoghaddam, Majid Ghaderi, Carey L. Willia...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 7 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim