Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis.
Mehdi KhasheiPublished in: Intell. Data Anal. (2017)
Keyphrases
- cluster analysis
- similarity measurement
- learning speed
- unsupervised learning
- neural network
- feed forward neural networks
- activation function
- supervised learning
- rbf network
- semi supervised
- back propagation
- retrieval method
- multi layer
- euclidean distance
- artificial neural networks
- similarity metric
- semantic similarity
- feed forward
- learning algorithm
- radial basis function
- fuzzy clustering
- similarity measure
- distance metric
- hidden layer
- clustering method
- k means
- pattern recognition
- machine learning
- neural network model
- feature selection
- similarity search
- data mining
- dimensionality reduction
- multilayer perceptron
- expectation maximization
- text classification
- data mining techniques
- neural nets
- dynamic time warping
- fuzzy logic
- data analysis
- clustering algorithm
- recurrent neural networks
- object recognition
- active learning
- retrieval process
- databases
- training algorithm
- distance function
- labeled data
- low dimensional
- data points
- reinforcement learning
- training data
- face recognition
- image processing