275 search results - page 12 / 55 » Automatically labeling hierarchical clusters |
APN
2008
Springer
13 years 9 months ago
2008
Springer
Shared decision diagram representations of a state-space have been shown to provide efficient solutions for model-checking of large systems. However, decision diagram manipulation ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We consider pixel labeling problems where the label set
forms a tree, and where the observations are also labels.
Such problems arise in feature-space analysis with a very
large...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
PVLDB
2008
13 years 7 months ago
2008
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...