Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction.
Narihisa MatsumotoShotaro AkahoYasuko Sugase-MiyamotoMasato OkadaPublished in: Neural Networks (2010)
Keyphrases
- dimension reduction
- simultaneous optimization
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- generative topographic mapping
- self organizing maps
- high dimensionality
- principal component analysis
- feature extraction
- clustering method
- high dimensional
- k means
- multidimensional scaling
- data mining and machine learning
- low dimensional
- clustering algorithm
- singular value decomposition
- variable selection
- dimensionality reduction
- high dimensional problems
- feature space
- data analysis
- neural network
- feature selection
- data clustering
- feature subspace
- manifold learning
- linear discriminant analysis
- data points
- random projections
- preprocessing
- computer vision
- discriminative information
- distance metric
- nearest neighbor
- partial least squares
- learning algorithm
- data warehouse
- least squares
- data mining techniques
- manifold embedding
- microarray
- machine learning
- image processing