Suchergebnisse - "Clustering and Pattern Detection"
-
1
Splitting Methods for Convex Clustering
ISSN: 1061-8600, 1537-2715Veröffentlicht: United States Taylor & Francis 02.10.2015Veröffentlicht in Journal of computational and graphical statistics (02.10.2015)“… Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering, …”
Volltext
Journal Article -
2
Statistical Significance of Clustering Using Soft Thresholding
ISSN: 1061-8600, 1537-2715Veröffentlicht: United States Taylor & Francis 02.10.2015Veröffentlicht in Journal of computational and graphical statistics (02.10.2015)“… Clustering methods have led to a number of important discoveries in bioinformatics and beyond. A major challenge in their use is determining which clusters …”
Volltext
Journal Article -
3
Scalable Detection of Anomalous Patterns With Connectivity Constraints
ISSN: 1061-8600, 1537-2715Veröffentlicht: Alexandria Taylor & Francis 02.10.2015Veröffentlicht in Journal of computational and graphical statistics (02.10.2015)“… We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at …”
Volltext
Journal Article -
4
Text analytics: versatile and growing
ISSN: 1099-8284Veröffentlicht: Camden Information Today, Inc 01.07.2013Veröffentlicht in KM world (01.07.2013)“… Processes such as entity extraction, clustering and pattern detection reveal higher-order information that people were not using because they were …”
Volltext
Magazine Article