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Semi-supervised possibilistic c-means clustering algorithm based on feature weights for imbalanced data.
Haiyan Yu
Xiaoyu Xu
Honglei Li
Yuting Wu
Bo Lei
Published in:
Knowl. Based Syst. (2024)
Keyphrases
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possibilistic c means
imbalanced data
feature weights
semi supervised
clustering algorithm
possibilistic clustering
feature selection
feature weighting
fuzzy c means
support vector machine
fuzzy clustering
unlabeled data
class distribution
linear regression
semi supervised learning
labeled data
training data
svm classifier
active learning
distance function
sampling methods
pairwise
multi view
ensemble methods
class imbalance
text categorization
decision trees
unsupervised learning
supervised learning
cluster validity index
regression model
objective function
metric learning
dimensionality reduction
feature extraction
fcm algorithm
neural network
computer vision
support vector
similarity search
clustering method
data sets
k means