Abstract The paper provides a practical guide on initialization of the recursive mixture-based clustering of non-negative data. For modeling the non-negative data, mixtures of uniform, exponential, gamma and other distributions can be used. Initialization is known to be an important task for a start of the mixture estimation algorithm. Within the considered recursive approach, the key point of initialization is a choice of initial statistics of the involved prior distributions. The paper describes several initialization techniques for the mentioned types of components that can be beneficial primarily from a practical point of view.
Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data
Informatics in Control, Automation and Robotics ; 3 ; 679-698
Lecture Notes in Electrical Engineering ; 495 , 3
2019-04-18
20 pages
Article/Chapter (Book)
Electronic Resource
English
Recursive Filter Initialization
AIAA | 1972
|Recursive filter initialization.
NTRS | 1972
|