125 search results - page 4 / 25 » A new clustering algorithm applying a hierarchical method ne... |
IJCAI
1997
13 years 8 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
DATAMINE
2006
13 years 7 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
CIKM
2000
Springer
13 years 11 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
BMCBI
2008
13 years 7 months ago
2008
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
ISNN
2011
Springer
12 years 10 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...