1775 search results - page 11 / 355 » Learning Spectral Clustering |
96
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
115
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WWW
2010
ACM
14 years 10 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
118
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Source Code
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...
82
Voted
LKR
2008
14 years 11 months ago
2008
Abstract. For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not st...
83
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...