Cluster Identification Using Projections
نویسندگان
چکیده
منابع مشابه
Channel Identification and Tracking Using Alternating Projections
In this paper an iterative method for semi-blind MIMO channel identification and tracking is presented. The method is based on results from information geometry; specifically, the alternating projections theorem first proved by Csiszar [2], which provides a rigorous iterative method for stochastic maximum likelihood estimation. It is demonstrated that the proposed method has similar performance...
متن کاملUsing projections to visually cluster high-dimensional data
data generated by the extensive use of computers today—and locating concise and interpretable information within that data—is called knowledge discovery in databases (KDD). Data mining refers to one specific step in the KDD process— namely, to the application of algorithms that can extract hidden patterns from data (see the “KDD Process” sidebar for more information). The data mining technique ...
متن کاملProjections of temperature-attributable premature deaths in 209 U.S. cities using a cluster-based Poisson approach.
BACKGROUND A warming climate will affect future temperature-attributable premature deaths. This analysis is the first to project these deaths at a near national scale for the United States using city and month-specific temperature-mortality relationships. METHODS We used Poisson regressions to model temperature-attributable premature mortality as a function of daily average temperature in 209...
متن کاملAutomatic script identification from images using cluster-based templates
We describe a system that automatically identifies the script used in documents stored electronically in image form. The system can learn to distinguish any number of scripts. It develops a set of representative symbols (templates) for each script by clustering textual symbols from a set of training documents and representing each cluster by its centroid. "Textual symbols" include discrete char...
متن کاملE-Collaboration Systems: Identification of System Classes using Cluster Analysis
E-Collaboration systems have become the backbone infrastructure to support virtual work in and across organizations. Fuelled by recent technology trends the market today offers an abundance of systems that often support a wide range of communication and collaboration features. In this article I present a study that aims to shed light on the market for E-Collaboration systems by structuring the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2001
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214501753382345