1344 search results - page 84 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
INCDM
2010
Springer
13 years 6 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
SODA
2010
ACM
14 years 5 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces [5]. We use the well-known fami...
TMI
2010
13 years 6 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...