19 search results - page 1 / 4 » Unfolding preprocessing for meaningful time series clusterin... |
NN
2006
Springer
13 years 4 months ago
2006
Springer
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
ANOR
2010
13 years 5 months ago
2010
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
IDA
2009
Springer
13 years 9 months ago
2009
Springer
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
DATAMINE
2006
13 years 5 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...