5733 search results - page 87 / 1147 » Clustering Categorical Data |
GFKL
2004
Springer
14 years 3 months ago
2004
Springer
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
ICMCS
2006
IEEE
14 years 4 months ago
2006
IEEE
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation. I...
BIBE
2004
IEEE
14 years 2 months ago
2004
IEEE
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
CEC
2008
IEEE
14 years 4 months ago
2008
IEEE
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...