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KES
2000
Springer
14 years 4 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
ESOA
2006
14 years 4 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
ICDT
2007
ACM
143views Database» more  ICDT 2007»
14 years 4 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
GD
2004
Springer
14 years 5 months ago
Visualizing Large Graphs with Compound-Fisheye Views and Treemaps
Compound-fisheye views are introduced as a method for the display and interaction with large graphs. The method relies on a hierarchical clustering of the graph, and a generalizat...
James Abello, Stephen G. Kobourov, Roman Yusufov
CIS
2005
Springer
14 years 6 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
CIARP
2005
Springer
14 years 6 months ago
Dynamic Hierarchical Compact Clustering Algorithm
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Reynaldo Gil-García, José Manuel Bad...
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 6 months ago
Improving Speaker Diarization by Cross EM Refinement
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
EDBT
2004
ACM
145views Database» more  EDBT 2004»
15 years 17 days ago
CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes
Abstract. Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP quer...
Nikos Karayannidis, Timos K. Sellis, Yannis Kouvar...
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 17 days ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
RECOMB
2009
Springer
15 years 1 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...