640 search results - page 15 / 128 » Watershed-Based Unsupervised Clustering |
121
Voted
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
137
Voted
SOCIALCOM
2010
15 years 1 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
150
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
125
Voted
ACL
2006
15 years 5 months ago
2006
An unsupervised part-of-speech (POS) tagging system that relies on graph clustering methods is described. Unlike in current state-of-the-art approaches, the kind and number of dif...
130
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...