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» MABAC - Matrix Based Clustering Algorithm
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ICPR
2008
IEEE
16 years 5 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 10 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 10 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 9 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 10 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