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IDEAL
2004
Springer
14 years 1 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
IJCAI
2001
13 years 10 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 8 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
14 years 5 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
WEA
2005
Springer
107views Algorithms» more  WEA 2005»
14 years 1 months ago
Local Clustering of Large Graphs by Approximate Fiedler Vectors
Vectors [Extended Abstract] Pekka Orponen and Satu Elisa Schaeffer Laboratory for Theoretical Computer Science, P.O. Box 5400 FI-02015 TKK Helsinki University of Technology, Finlan...
Pekka Orponen, Satu Elisa Schaeffer