1971 search results - page 49 / 395 » A clustering method that uses lossy aggregation of data |
DAS
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
VISUALIZATION
2000
IEEE
14 years 3 days ago
2000
IEEE
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
DAWAK
2003
Springer
14 years 29 days ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
CJ
1998
13 years 7 months ago
1998
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
SIGMOD
2011
ACM
12 years 10 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...