5092 search results - page 27 / 1019 » Clustering the Feature Space |
164
Voted
CSIE
2009
IEEE
15 years 11 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
132
Voted
SIGIR
2003
ACM
15 years 9 months ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
118
Voted
ICIP
1999
IEEE
16 years 6 months ago
1999
IEEE
This paper presents an algorithm for unsupervised segmentation of color images. The main idea behind it is the use of the low-frequency content of images which allows for smoothin...
151
Voted
ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper studies automatic segmentation of multiple
motions from tracked feature points through spectral embedding
and clustering of linear subspaces. We show that
the dimensi...
179
Voted
KDD
2003
ACM
16 years 5 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...