419 search results - page 22 / 84 » Spectral Methods for Automatic Multiscale Data Clustering |
EMMCVPR
2001
Springer
14 years 15 days ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
PCM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
MM
2005
ACM
14 years 1 months ago
2005
ACM
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
DEXAW
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...