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» Algorithms for Clustering Data
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CVPR
2007
IEEE
16 years 7 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
DOLAP
2004
ACM
15 years 10 months ago
A new OLAP aggregation based on the AHC technique
Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...
140
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KDD
1995
ACM
98views Data Mining» more  KDD 1995»
15 years 8 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
16 years 6 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
SAC
2008
ACM
15 years 4 months ago
Adding background knowledge to formal concept analysis via attribute dependency formulas
We present a way to add user's background knowledge to formal concept analysis. The type of background knowledge we deal with relates to relative importance of attributes in ...
Radim Belohlávek, Vilém Vychodil