Center-based nearest neighbor classifier
QB Gao, ZZ Wang - Pattern Recognition, 2007 - Elsevier
In this paper, a novel center-based nearest neighbor (CNN) classifier is proposed to deal
with the pattern classification problems. Unlike nearest feature line (NFL) method, CNN …
with the pattern classification problems. Unlike nearest feature line (NFL) method, CNN …
Predicting apoptosis protein subcellular location with PseAAC by incorporating tripeptide composition
B Liao, JB Jiang, QG Zeng, W Zhu - Protein and Peptide Letters, 2011 - ingentaconnect.com
The function of the protein is closely correlated with its subcellular localization. Probing into
the mechanism of protein sorting and predicting protein subcellular location can provide …
the mechanism of protein sorting and predicting protein subcellular location can provide …
An improved process for generating uniform PSSMs and its application in protein subcellular localization via various global dimension reduction techniques
S Wang, W Li, Y Fei, Z Cao, D Xu, H Guo - Ieee Access, 2019 - ieeexplore.ieee.org
This paper proposes an improved protein feature expression called segmented amino acid
composition in position-specific scoring matrix (PSSM-SAA) in the field of subcellular …
composition in position-specific scoring matrix (PSSM-SAA) in the field of subcellular …
Improving the k‐nearest neighbour rule: using geometrical neighbourhoods and manifold‐based metrics
H Altιnçay - Expert Systems, 2011 - Wiley Online Library
Sample weighting and variations in neighbourhood or data‐dependent distance metric
definitions are three principal directions considered for improving the k‐NN classification …
definitions are three principal directions considered for improving the k‐NN classification …
Protein subcellular location prediction using optimally weighted fuzzy k-NN algorithm
E Nasibov, C Kandemir-Cavas - Computational biology and chemistry, 2008 - Elsevier
Optimally weighted fuzzy k-nearest neighbors (OWFKNN) algorithm has been used to
predict proteins' subcellular locations based on their amino acid composition, in this paper …
predict proteins' subcellular locations based on their amino acid composition, in this paper …
Construction of functional interaction networks through consensus localization predictions of the human proteome
Characterizing the subcellular localization of a protein provides a key clue for understanding
protein function. However, different protein localization prediction programs often deliver …
protein function. However, different protein localization prediction programs often deliver …
Neighborhood discriminant nearest feature line analysis for face recognition
A novel subspace learning algorithm named neighborhood discriminant nearest feature line
analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature …
analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature …
Classification of apoptosis proteins by discriminant analysis.
C Kandemir-Cavas, E Nasibov - Turkish Journal of …, 2012 - search.ebscohost.com
Objective: Prediction of the locations of apoptosis proteins which are divided into four
locations as cytoplasmic proteins, plasma membrane-bound proteins, mitochondrial inner …
locations as cytoplasmic proteins, plasma membrane-bound proteins, mitochondrial inner …
Discriminant analysis based on nearest feature line
A novel feature extraction algorithm based on nearest feature line is proposed in this paper.
The proposed algorithm can extract the local discriminant features of the samples. The …
The proposed algorithm can extract the local discriminant features of the samples. The …
Nearest feature line: A tangent approximation
Nearest feature line (NFL)(SZ Li and J. Lu, 1999) is an efficient yet simple classification
method for pattern recognition. This paper presents a theoretical analysis and interpretation …
method for pattern recognition. This paper presents a theoretical analysis and interpretation …