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CAINE
2009
15 years 4 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
IDA
2009
Springer
15 years 4 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
16 years 27 days ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
RT
1999
Springer
15 years 10 months ago
Face Cluster Radiosity
Abstract. An algorithm for simulating diffuse interreflection in complex three dimensional scenes is described. It combines techniques from hierarchical radiosity and multiresolut...
Andrew J. Willmott, Paul S. Heckbert, Michael Garl...
SIGGRAPH
1995
ACM
15 years 10 months ago
Feature-based control of visibility error: a multi-resolution clustering algorithm for global illumination
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...
François X. Sillion, George Drettakis