Sentence examples for supervised clustering from inspiring English sources

This analysis also leads to general insights about structural SVMs beyond supervised clustering.

The three techniques used are an expert system approach, a supervised clustering approach, and a neural network approach.

We empirically and theoretically analyze our supervised clustering approach on a variety of datasets and clustering methods.

[Finley/Joachims/05a] T. Finley and T. Joachims, Supervised Clustering with Support Vector Machines, Proceedings of the International Conference on Machine Learning (ICML), 2005.

First, we integrate the image boundary information into weakly supervised clustering by adopting an efficient image segmentation algorithm with proved convergence.

The semantic relatedness between Wikipedia concepts is used to find constraints for supervised clustering using active learning.

We also illustrate how different non-supervised clustering methods can be used to explore the data.

Hence, it is meaningful to design a safe semi-supervised clustering method which never performs worse than the corresponding unsupervised and semi-supervised clustering methods.

Semi-supervised clustering generally assumes that prior knowledge is helpful to improve clustering performance.

To the best of our knowledge, it is the first time safe semi-supervised clustering has been studied.

Both clustering ensemble and semi-supervised clustering techniques have been emerged to improve the clustering performance of unsupervised clustering algorithms.