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» Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
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HIS
2003
13 years 8 months ago
Design of Transparent Mamdani Fuzzy Inference Systems
: In this paper, we propose a technique to design Fuzzy Inference Systems (FIS) of Mamdani type with transparency constraints. The technique is based on our Crisp Double Clustering...
Giovanna Castellano, Anna Maria Fanelli, Corrado M...
IDA
2003
Springer
14 years 18 days ago
Fuzzy Clustering Based Segmentation of Time-Series
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...
János Abonyi, Balazs Feil, Sandor Z. N&eacu...
BMCBI
2007
237views more  BMCBI 2007»
13 years 7 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
13 years 2 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
SOCA
2010
IEEE
13 years 5 months ago
Weighted fuzzy clustering for capability-driven service aggregation
Abstract--Workflow design, mashup configuration, and composite service formation are examples where the capabilities of multiple simple services combined achieve a complex function...
Christoph Dorn, Schahram Dustdar