32 search results - page 2 / 7 » Fuzzy Clustering Based Segmentation of Time-Series |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
FSKD
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. A fuzzy c-means algorithm incorporating the notion of dominant colors and spatial homogeneity is proposed for the color clustering problem. The proposed algorithm extract...
ICPR
2000
IEEE
13 years 12 months ago
2000
IEEE
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...