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IDA
2003
Springer
15 years 7 months ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...
WEBI
2005
Springer
15 years 7 months ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
15 years 8 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
SIGIR
2010
ACM
15 years 2 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer
ICPR
2004
IEEE
16 years 3 months ago
Levels of Detail Control Based on Correlation Analysis Between Surface Position and Direction
This paper presents a new LOD control method using surface smoothness measure based on correlation analysis between surface position and direction. This control method renders smo...
Tokuo Tsuji, Hongbin Zha, Tsutomu Hasegawa, Ryo Ku...