A hierarchical laplacian TWSVM using similarity clustering for leaf classification.
Neha GoyalKapil GuptaPublished in: Clust. Comput. (2022)
Keyphrases
- unsupervised learning
- pattern recognition
- hierarchical classification
- classification accuracy
- hierarchical clustering
- classification method
- dissimilarity measure
- unsupervised classification
- feature vectors
- unsupervised clustering
- supervised classification
- nearest neighbor classification
- k means
- image classification
- clustering analysis
- similarity computation
- clustering algorithm
- classification algorithm
- similarity calculation
- distance metric
- machine learning
- support vector
- decision trees
- similarity function
- high similarity
- density estimation
- self organizing maps
- clustering method
- support vector machine svm
- text classification
- supervised learning
- support vector machine
- data points
- similarity measure
- feature extraction
- high dimensionality
- cluster analysis
- multidimensional scaling
- cosine similarity
- feature selection
- neural network