An Iterative Framework for the Improvement of Soft Clusters for Classificaction
نویسندگان
چکیده
This work introduces an iterative soft cluster refinement method that extensively uses soft cluster evaluation to determine which clusters would discriminate between classes in a classification scheme. This iterative refinement is part of the continuous iterative guided spectral class rejection (CIGSCR) classification method for remotely sensed images. Results indicate that CIGSCR produces good classifications of remotely sensed images, and classification accuracies are higher using the iterative refinement in CIGSCR than classifications derived from soft clustering without iterative refinement.
منابع مشابه
A Soft-Input Soft-Output Target Detection Algorithm for Passive Radar
Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...
متن کاملIterative Process for an α- Nonexpansive Mapping and a Mapping Satisfying Condition(C) in a Convex Metric Space
We construct one-step iterative process for an α- nonexpansive mapping and a mapping satisfying condition (C) in the framework of a convex metric space. We study △-convergence and strong convergence of the iterative process to the common fixed point of the mappings. Our results are new and are valid in hyperbolic spaces, CAT(0) spaces, Banach spaces and Hilbert spaces, simultaneously.
متن کاملInvestigation of the Productivity of Networking Activities and Improvement Projects on the Sales and Employment of Iranian Agricultural Clusters
O ne of the effective strategies for economic development of clusters is the conduct of networking activities by cluster members. Indeed, the majority of cluster members are micro and small enterprises, so, should attempt to overcome their inherent constraints and influence the market through networking activities. In addition, these enterprises lack an intra-firm research and develo...
متن کاملINTRODUCTION AND DEVELOPMENT OF SURROGATE MANAGEMENT FRAMEWORK FOR SOLVING OPTIMIZATION PROBLEMS
In this paper, we have outlined the surrogate management framework for optimization of expensive functions. An initial simple iterative method which we call the “Strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. These ideas are made rigorous by incorporating them into the framework of pattern search methods. The SMF al...
متن کاملA TQM and JIT Integrated Continuous Improvement Model For Organizational Success: An Innovative Framework
Abstract Manufacturing companies must find competitive methods to produce products cheaper, faster and better to continuously satisfy their customers and acquire organizational success. For continuous improvement to be more successful, hybrid programs such as integrated TQM and JIT approaches give better results. As the existing TQM and JIT integrated approaches in literatures are not analogous...
متن کامل