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» Hierarchical comments-based clustering
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KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 10 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
ICDT
2007
ACM
143views Database» more  ICDT 2007»
14 years 1 months ago
Hierarchical Summarizing and Evaluating for Web Pages
In this investigation we propose a novel summarization method of Web pages using hierarchical expression. We discuss close relationship between summarization and hierarchical clust...
Kou Takahashi, Takao Miura, Isamu Shioya
ICPR
2008
IEEE
14 years 10 months ago
Geodesic K-means clustering
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
Arian Maleki, Nima Asgharbeygi
EUC
2005
Springer
14 years 3 months ago
Neighbor Node Discovery Algorithm for Energy-Efficient Clustering in Ubiquitious Sensor Networks
Clustering algorithm is an essential element to implement a hierarchical routing protocol, especially for a large-scale wireless sensor network. In this paper, we propose a new typ...
Ji Young Choi, Chung Gu Kang, Yong-Suk Kim, Kyeong...
MCS
2005
Springer
14 years 3 months ago
Cluster-Based Cumulative Ensembles
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...
Hanan Ayad, Mohamed S. Kamel