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» Unsupervised Feature Selection Using Feature Similarity
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EWCBR
2006
Springer
13 years 9 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 8 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu
ISDA
2009
IEEE
14 years 12 days ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
NIPS
2007
13 years 7 months ago
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila