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» Clustering with Multiple Graphs
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126
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AI
2008
Springer
15 years 6 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
150
Voted
NIPS
2004
15 years 5 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
CISS
2007
IEEE
15 years 10 months ago
An EM Technique for Multiple Transmitter Localization
— We propose an expectation-maximization (EM) technique for locating multiple transmitters based on power levels observed by a set of arbitrarily-placed receivers. Multiple trans...
Jill K. Nelson, Maya R. Gupta
ICASSP
2010
IEEE
15 years 4 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
160
Voted
AAAI
2010
15 years 5 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He