An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity.
Biswanath BhattacharyaDimitri P. SolomatinePublished in: HIS (2003)
Keyphrases
- k means
- data reduction
- clustering analysis
- input data
- clustering method
- classification algorithm
- data sets
- large scale data sets
- noisy data
- preprocessing
- learning algorithm
- spectral clustering
- data points
- unsupervised learning
- cluster centers
- graph partitioning
- synthetic datasets
- data clustering
- unsupervised clustering
- training samples
- hierarchical clustering algorithm
- unsupervised classification
- similarity measure
- training data
- detection algorithm
- self organizing maps
- data analysis
- data structure
- expectation maximization
- clustering algorithm
- feature extraction
- extracted features
- categorical data
- density estimation
- hierarchical clustering
- support vector
- similarity matrix
- multidimensional scaling
- feature vectors
- classification accuracy
- support vector machine svm
- supervised learning
- classification trees
- clustering result
- missing data
- cluster structure
- dissimilarity matrix
- cluster analysis
- distance metric
- classification method
- class labels
- high dimensional data
- support vector machine
- training set
- optimal solution
- feature selection
- machine learning