User:Oligenom/Books/Cluster Research2

Master Thesis first research via WIKI

 * Introduction
 * Cluster analysis
 * Cluster sampling
 * Data mining
 * Cluster diagram
 * Text mining


 * Clusterin Algorithms
 * K-means clustering
 * Hierarchical clustering
 * DBSCAN
 * OPTICS algorithm
 * Biclustering
 * Fuzzy clustering
 * Expectation–maximization algorithm
 * Single-linkage clustering
 * Complete-linkage clustering
 * UPGMA
 * FLAME clustering
 * K-means++
 * K-medoids
 * SUBCLU
 * Ward's method
 * Lloyd's algorithm
 * Linde–Buzo–Gray algorithm
 * K-medians clustering
 * Determining the number of clusters in a data set


 * Evaluation
 * Overfitting
 * Davies–Bouldin index
 * Dunn index
 * Rand index
 * F1 score
 * Jaccard index
 * Fowlkes–Mallows index
 * Confusion matrix


 * Text Mining
 * Mutual information
 * Pattern recognition
 * Data model
 * Document clustering
 * Document classification
 * Tf–idf
 * Naive Bayes classifier
 * Decision tree learning
 * ID3 algorithm
 * C4.5 algorithm
 * Concept mining
 * Natural language processing
 * Stop words
 * Sequence mining
 * Noisy text analytics
 * Lexical analysis
 * Parsing


 * Other
 * Stratified sampling
 * Dendrogram
 * List of algorithms
 * Clustering high-dimensional data
 * Multivariate normal distribution
 * NP-hard
 * Voronoi diagram
 * Information visualization
 * Predictive analytics