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» MABAC - Matrix Based Clustering Algorithm
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ICPR
2008
IEEE
16 years 2 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
ACIVS
2008
Springer
15 years 7 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
GLVLSI
2006
IEEE
90views VLSI» more  GLVLSI 2006»
15 years 7 months ago
Low-power clustering with minimum logic replication for coarse-grained, antifuse based FPGAs
This paper presents a minimum area, low-power driven clustering algorithm for coarse-grained, antifuse-based FPGAs under delay constraints. The algorithm accurately predicts logic...
Chang Woo Kang, Massoud Pedram
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
15 years 6 months ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...
FMCO
2005
Springer
173views Formal Methods» more  FMCO 2005»
15 years 6 months ago
Cluster-Based LTL Model Checking of Large Systems
Abstract. In recent years a bundle of parallel and distributed algorithms for verification of finite state systems has appeared. We survey distributed-memory enumerative LTL mode...
Jiri Barnat, Lubos Brim, Ivana Cerná