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Found 7 papers, 0 papers with code
A Novel Fuzzy Bi-Clustering Algorithm with AFS for Identification of Co-Regulated Genes
By building two fuzzy partition matrices of the gene expression data with the Axiomatic Fuzzy Set (AFS) theory, this paper proposes a novel fuzzy bi-clustering algorithm for identification of co-regulated genes.
An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix
The experimental results are in agreement with the theoretical analysis.
Exploiting a Supervised Index for High-accuracy Parameter Estimation in Low SNR
In this study, we exploit an index to build a supervised learning model of the parameter estimation.
How to Determine an Optimal Noise Subspace?
The Multiple Signal Classification (MUSIC) algorithm based on the orthogonality between the signal subspace and noise subspace is one of the most frequently used method in the estimation of Direction Of Arrival (DOA), and its performance of DOA estimation mainly depends on the accuracy of the noise subspace.
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
With the information granules we build a characteristic matrix of the gene data to capture the fluctuation trend of the expression value between consecutive conditions to mine the ideal bi-clusters.
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
In this paper, to enhance the quality of the degranulation (reconstruction) process, we augment the FCM-based degranulation mechanism by introducing a vector of fuzzification factors (fuzzification factor vector) and setting up an adjustment mechanism to modify the prototypes and the partition matrix.
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
By proposing the augmented scheme, we dwell on a novel collection of granulation-degranulation mechanisms.
