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ICML
2004
IEEE
16 years 1 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
98
Voted
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
15 years 2 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
92
Voted
CVRMED
1997
Springer
15 years 4 months ago
Rigid registration of CT, MR and cryosection images using a GLCM framework
The majority of the available rigid registration measures are based on a 2-dimensional histogram of corresponding grey-values in the registered images. This paper shows that these ...
Morten Bro-Nielsen

Publication
391views
16 years 2 months ago
Pedestrian access to transit: Identifying redundancies and gaps using a variable service area analysis
Identifying the percentage of the population being served by a transit system in a metropolitan region is a key performance measure. This performance measure depends mainly on the ...
El-Geneidy, A., Tétreault, P. & Surprenant-Legaul...
195
Voted
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 1 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim