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» Characteristic-Based Clustering for Time Series Data
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BMCBI
2006
203views more  BMCBI 2006»
13 years 8 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 9 months ago
Aggregating time partitions
Partitions of sequential data exist either per se or as a result of sequence segmentation algorithms. It is often the case that the same timeline is partitioned in many different ...
Evimaria Terzi, Panayiotis Tsaparas, Taneli Mielik...
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 2 months ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 3 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura