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» Advances in constrained clustering
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GD
2008
Springer
13 years 11 months ago
Topology Preserving Constrained Graph Layout
Abstract. Constrained graph layout is a recent generalisation of forcedirected graph layout which allows constraints on node placement. We give a constrained graph layout algorithm...
Tim Dwyer, Kim Marriott, Michael Wybrow
TKDE
2012
245views Formal Methods» more  TKDE 2012»
12 years 7 days ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
FLAIRS
2004
13 years 11 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
14 years 10 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
CCGRID
2008
IEEE
14 years 4 months ago
Advanced RDMA-Based Admission Control for Modern Data-Centers
—Current data-centers employ admission control mechanism to maintain low response time and high throughput under overloaded scenarios. Existing mechanisms use internal (on the ov...
Ping Lai, Sundeep Narravula, Karthikeyan Vaidyanat...