Clustering on the unit hypersphere using von Mises-Fisher distributions

Keyphrases

• Von Mises-Fisher Distribution 100%
• Unit Hypersphere 100%
• Concentration Parameter 75%
• High-dimensional Data 50%
• Data-centric 50%
• Cosine Similarity 50%
• Data Mining Applications 25%
• Information Retrieval 25%
• High-dimensional Space 25%
• Mixture Model 25%
• Gene Expression Data 25%
• Mean Parameter 25%
• Expectation Maximization 25%
• Bessel Functions 25%
• K-means 25%
• Directional Data 25%
• Gene Expression Analysis 25%
• Clustering Algorithm 25%
• K-means Algorithm 25%
• Text Expression 25%
• Clustering Task 25%
• Multivariate Gaussian 25%
• Text Categorization 25%
• Big Data Mining 25%
• Numerical Estimation 25%
• Popular 25%
• Expectation-maximization Framework 25%

Mathematics

• Hypersphere 100%
• Cosine 66%
• K-Means 66%
• Mixture Model 33%
• Clustering 33%
• Bessel Function 33%
• Gaussian Distribution 33%
• Distributed Data 33%
• Higher Dimensions 33%
• Dimensional Data 33%
• Dimensional Space 33%
• Clustering Algorithm 33%
• Theoretical Basis 33%
• Text Categorization 33%
• Data Mining 33%