14 search results - page 2 / 3 » Iterative Clustering of High Dimensional Text Data Augmented... |
SAC
2006
ACM
14 years 1 months ago
2006
ACM
We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
ACST
2006
13 years 8 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
MM
2005
ACM
14 years 1 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...