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» Classes and clusters in data analysis
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MDAI
2007
Springer
15 years 4 months ago
Lindig's Algorithm for Concept Lattices over Graded Attributes
Formal concept analysis (FCA) is a method of exploratory data analysis. The data is in the form of a table describing relationship between objects (rows) and attributes (columns), ...
Radim Belohlávek, Bernard De Baets, Jan Out...
CSDA
2006
91views more  CSDA 2006»
14 years 10 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
STACS
2010
Springer
15 years 5 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
WWW
2011
ACM
14 years 5 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
DAGM
2005
Springer
15 years 3 months ago
Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation
A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Eric Wahl, Gerd Hirzinger