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TSD
2007
Springer
13 years 11 months ago
Inducing Classes of Terms from Text
This paper describes a clustering method for organizing in semantic classes a list of terms. The experiments were made using a POS annotated corpus, the ACL Anthology, which consis...
Pablo Gamallo, Gabriel Pereira Lopes, Alexandre Ag...
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
13 years 11 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
ECML
2007
Springer
13 years 11 months ago
Conceptual Clustering Applied to Ontologies
Abstract. A clustering method is presented which can be applied to semantically annotated resources in the context of ontological knowledge bases. This method can be used to discov...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
AIME
2007
Springer
13 years 11 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...
SEMCO
2007
IEEE
13 years 11 months ago
Evolutionary Conceptual Clustering of Semantically Annotated Resources
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
IMSCCS
2007
IEEE
13 years 11 months ago
Linear Correlation Analysis of Numeric Attributes for Government Data
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
Ying Chen, Guochang Gu, Tian-yang Lv, Shaobin Huan...
ISMIS
2009
Springer
13 years 11 months ago
Relational Sequence Clustering for Aggregating Similar Agents
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 2 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 5 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
WWW
2005
ACM
14 years 5 months ago
A clustering method for news articles retrieval system
Organizing the results of a search facilitates the user in overviewing the information returned. We regard the clustering task as the tasks of making labels for a list of items an...
Hiroyuki Toda, Ryoji Kataoka