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» Interactively Exploring Hierarchical Clustering Results
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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 10 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
LREC
2010
111views Education» more  LREC 2010»
15 years 7 months ago
Two-level Annotation of Utterance-units in Japanese Dialogs: An Empirically Emerged Scheme
In this paper, we propose a scheme for annotating utterance-level units in Japanese dialogs, which emerged from an analysis of the interrelationship among four schemes, i) inter-p...
Yasuharu Den, Hanae Koiso, Takehiko Maruyama, Kiku...
DAS
2008
Springer
15 years 7 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda
EDBT
2010
ACM
170views Database» more  EDBT 2010»
15 years 9 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
ISQED
2007
IEEE
156views Hardware» more  ISQED 2007»
16 years 8 days ago
A New Method of Implementing Hierarchical OPC
For emerging deep-subwavelength lithography technologies (90 nm and following) the data volume and the complexity of Optical Proximity Correction (OPC) have increased dramatically...
Yufu Zhang, Zheng Shi