1400 search results - page 16 / 280 » Bayesian hierarchical clustering |
KES
2004
Springer
14 years 1 months ago
2004
Springer
Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult du...
NIPS
2004
13 years 9 months ago
2004
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
COGSCI
2008
13 years 7 months ago
2008
We review current methods for evaluating models in the cognitive sciences, including theoretically-based approaches, such as Bayes Factors and MDL measures, simulation approaches,...
IV
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract—Bipartite graphs are often used to illustrate relationships between two sets of data, such as web pages and visitors. At the same time, information is often organized hi...
ACIVS
2008
Springer
14 years 2 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...