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» An objective evaluation criterion for clustering
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SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
14 years 2 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
ISCAS
2002
IEEE
132views Hardware» more  ISCAS 2002»
14 years 19 days ago
Lossless/lossy coding gain to evaluate coding performance of the lossless/lossy wavelet
In this report, we propose lossless/lossy coding gain as a new objective criterion to theoretically evaluate lossless and lossy coding performance of the lossless/lossy wavelet (L...
Somchart Chokchaitam, Masahiro Iwahashi
EMMCVPR
2001
Springer
14 years 6 days ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
IEICET
2007
93views more  IEICET 2007»
13 years 7 months ago
Experimental Evaluation of Decision Criteria for WLAN Handover: Signal Strength and Frame Retransmission
Abstract. In ubiquitous networks, Mobile Nodes (MNs) may often suffer from performance degradation due to the following two reasons: (1) reduction of signal strength by an MN’s m...
Kazuya Tsukamoto, Takeshi Yamaguchi, Shigeru Kashi...
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...