115 search results - page 4 / 23 » Summarising Data by Clustering Items |
STACS
2010
Springer
14 years 2 months ago
2010
Springer
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, ...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
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...
ICDM
2002
IEEE
14 years 9 days ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
WILF
2007
Springer
14 years 1 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...