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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICDAR
2009
IEEE
13 years 6 months ago
German Lute Tablature Recognition
This paper describes a document recognition system for 16th century German staffless lute tablature notation. We present methods for page layout analysis, symbol recognition and s...
Christoph Dalitz, Christine Pranzas
WWW
2004
ACM
14 years 9 months ago
Clustering e-commerce search engines
In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
BMCBI
2010
201views more  BMCBI 2010»
13 years 8 months ago
Analysis of X-ray Structures of Matrix Metalloproteinases via Chaotic Map Clustering
Background: Matrix metalloproteinases (MMPs) are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-...
Ilenia Giangreco, Orazio Nicolotti, Angelo Carotti...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 8 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...