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BMCBI
2010
155views more  BMCBI 2010»
15 years 1 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 7 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
ADC
2005
Springer
106views Database» more  ADC 2005»
15 years 7 months ago
OS Support for a Commodity Database on PC clusters - Distributed Devices vs. Distributed File Systems
In this paper we attempt to parallelise a commodity database for OLAP on a cluster of commodity PCs by using a distributed high-performance storage subsystem. By parallelising the...
Felix Rauch, Thomas Stricker
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 1 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 1 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...