1301 search results - page 63 / 261 » Default Clustering from Sparse Data Sets |
KDD
2008
ACM
14 years 9 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
DILS
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
PAMI
2008
13 years 9 months ago
2008
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...