32 search results - page 4 / 7 » Fuzzy Clustering Based Segmentation of Time-Series |
IJAR
2006
13 years 7 months ago
2006
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
EUSFLAT
2009
13 years 5 months ago
2009
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
AIME
1997
Springer
13 years 11 months ago
1997
Springer
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
BMVC
1998
13 years 9 months ago
1998
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
JMLR
2012
11 years 10 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...