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ISNN
2004
Springer
14 years 29 days ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
14 years 1 months ago
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
Zhiwen Yu, Hau-San Wong
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
14 years 2 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl
ICDCS
2012
IEEE
11 years 10 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
CPM
2005
Springer
109views Combinatorics» more  CPM 2005»
14 years 1 months ago
Using PQ Trees for Comparative Genomics
Permutations on strings representing gene clusters on genomes have been studied earlier in [18, 14, 3, 12, 17] and the idea of a maximal permutation pattern was introduced in [12]....
Gad M. Landau, Laxmi Parida, Oren Weimann