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» Interactively Exploring Hierarchical Clustering Results
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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 1 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»
14 years 11 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
14 years 11 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 23 days 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»
15 years 3 months 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