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STACS
2010
Springer
14 years 2 months ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy
DATAMINE
2002
114views more  DATAMINE 2002»
13 years 7 months ago
Techniques of Cluster Algorithms in Data Mining
An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measur...
Johannes Grabmeier, Andreas Rudolph
ML
2006
ACM
13 years 7 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
CSMR
2010
IEEE
13 years 2 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo