123 search results - page 13 / 25 » Characteristic-Based Clustering for Time Series Data |
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
CIKM
1998
Springer
14 years 24 days ago
1998
Springer
An important investigation of time series involves searching for \movement" patterns, such as \going up" or \going down" or some combinations of them. Movement patt...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
ANOR
2010
13 years 8 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...
ENGL
2007
13 years 8 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...