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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 8 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
ESANN
2006
15 years 5 months ago
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
Jochen J. Steil, Risto Koiva, Alessandro Sperduti
CEC
2011
IEEE
14 years 4 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
16 years 1 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
HAPTICS
2006
IEEE
15 years 10 months ago
Perceptual Analysis of Haptic Icons: an Investigation into the Validity of Cluster Sorted MDS
The design of usable haptic icons (brief informational signals delivered through the sense of touch) requires a tool for measuring perceptual distances between icons that will be ...
Jérôme Pasquero, Joseph Luk, Shannon ...