A Cosine-Similarity Mutual-Information Approach for Feature Selection on High Dimensional Datasets.
Vimal Kumar DubeyAmit Kumar SaxenaPublished in: J. Inf. Technol. Res. (2017)
Keyphrases
- mutual information
- high dimensional datasets
- cosine similarity
- feature selection
- similarity measure
- high dimensionality
- outlier detection
- high dimensional data
- high dimensional
- similarity function
- vector space
- distance measure
- dimensionality reduction
- semantic similarity
- document clustering
- tf idf
- text categorization
- vector space model
- k means
- euclidean distance
- image registration
- feature space
- pairwise
- feature set
- concept drift
- similarity search
- low dimensional
- classification accuracy
- unsupervised learning
- text classification
- machine learning
- semi supervised learning
- neural network
- support vector machine
- feature vectors
- data streams
- clustering algorithm