2142 search results - page 3 / 429 » Hierarchical Adaptive Clustering |
PRIB
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
JMLR
2010
12 years 11 months ago
2010
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
ISCC
2006
IEEE
13 years 10 months ago
2006
IEEE
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
COLT
2010
Springer
13 years 2 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...