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» Minimum Spanning Tree Based Clustering Algorithms
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171
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 4 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
146
Voted
TJS
2010
182views more  TJS 2010»
15 years 2 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
150
Voted
CIE
2007
Springer
15 years 10 months ago
The Complexity Ecology of Parameters: An Illustration Using Bounded Max Leaf Number
In the framework of parameterized complexity, exploring how one parameter affects the complexity of a different parameterized (or unparameterized problem) is of general interest....
Michael R. Fellows, Frances A. Rosamond
CAD
2007
Springer
15 years 3 months ago
Detection of closed sharp edges in point clouds using normal estimation and graph theory
The reconstruction of a surface model from a point cloud is an important task in the reverse engineering of industrial parts. We aim at constructing a curve network on the point c...
Kris Demarsin, Denis Vanderstraeten, Tim Volodine,...
123
Voted
ICIP
2009
IEEE
15 years 1 months ago
Graph-based foreground extraction in extended color space
We propose a region-based method to extract semantic foreground regions from color video sequences with static backgrounds. First, we introduce a new distance measure for backgrou...
Hansung Kim, Adrian Hilton