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» Cluster and Calendar Based Visualization of Time Series Data
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BMCBI
2006
203views more  BMCBI 2006»
15 years 1 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, ...
INFOVIS
2002
IEEE
15 years 6 months ago
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
Many clustering and layout techniques have been used for structuring and visualising complex data. This paper is inspired by a number of such contemporary techniques and presents ...
Alistair Morrison, Greg Ross, Matthew Chalmers
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
15 years 8 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
JMLR
2012
13 years 4 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
CIKM
2007
Springer
15 years 8 months ago
Nugget discovery in visual exploration environments by query consolidation
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward