73 search results - page 11 / 15 » Sparse Unsupervised Dimensionality Reduction Algorithms |
BMCBI
2008
13 years 7 months ago
2008
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
ICPP
2000
IEEE
13 years 12 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
IJON
2006
13 years 7 months ago
2006
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...