32 search results - page 4 / 7 » Fuzzy Clustering Based Segmentation of Time-Series |
IJAR
2006
14 years 9 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...
100
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EUSFLAT
2009
14 years 7 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...
88
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AIME
1997
Springer
15 years 1 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...
69
Voted
BMVC
1998
14 years 11 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...
124
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JMLR
2012
12 years 12 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...