255 search results - page 2 / 51 » Data Clustering with a Relational Push-Pull Model |
IJCAI
2001
13 years 7 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
SIGMOD
2007
ACM
14 years 5 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
KDD
2005
ACM
14 years 6 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
NIPS
2004
13 years 7 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...