Exploiting Linear Support Vector Machine for Correlation-Based High Dimensional Data Classification in Wireless Sensor Networks.
Lawrence Mwenda MuriiraZhiwei ZhaoGeyong MinPublished in: Sensors (2018)
Keyphrases
- high dimensional data
- high dimensionality
- linear support vector machines
- dimension reduction
- wireless sensor networks
- nearest neighbor
- high dimensional
- dimensionality reduction
- low dimensional
- subspace clustering
- data sets
- data analysis
- classification accuracy
- manifold learning
- clustering high dimensional data
- feature space
- pattern recognition
- data points
- decision trees
- logistic regression
- feature vectors
- high dimension
- input data
- linear discriminant analysis
- input space
- multivariate temporal data
- support vector machine
- missing values
- support vector machine svm
- training set
- support vector
- supervised learning
- feature extraction
- machine learning algorithms
- image classification
- feature selection
- machine learning
- data mining