11 search results - page 1 / 3 » Fuzzy Clustering of Series Using Quantile Autocovariances |
IDA
2003
Springer
14 years 4 months ago
2003
Springer
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
ENGL
2007
13 years 10 months ago
2007
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...
NN
2006
Springer
13 years 10 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
EUSFLAT
2009
13 years 8 months ago
2009
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
FSKD
2005
Springer
14 years 4 months ago
2005
Springer
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...