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Anderson, David E.; Vogel, Edward K.; Awh, Edward – Journal of Experimental Psychology: Human Perception and Performance, 2013
Perceptual grouping can lead observers to perceive a multielement scene as a smaller number of hierarchical units. Past work has shown that grouping enables more elements to be stored in visual working memory (WM). Although this may appear to contradict so-called discrete resource models that argue for fixed item limits in WM storage, it is also…
Descriptors: Cluster Grouping, Cues, Mnemonics, Short Term Memory
Tajnikar, Maks; Debevec, Jasmina – Education Economics, 2008
The present paper tackles the issue of the higher education funding system in Slovenia. Its main attribute is that institutions are classified into study groups according to their fields of education, and funds granted by the state are based on their weights or study group factors (SGF). Analysis conducted using data envelopment analysis tested…
Descriptors: Higher Education, Foreign Countries, Funding Formulas, Financial Policy

Heywood, M. I.; Zincir-Heywood, A. N.; Chatwin, C. R. – Information Processing & Management, 2000
Proposes and analyzes a method for servicing keyword queries expressed in a digital library. Topics include efficiency via the concept of customers and producers; grouping queries into clusters of similar concepts; information density of the library; query delay; query priorities; and fuzzy decision-making. (Author/LRW)
Descriptors: Cluster Grouping, Decision Making, Efficiency, Electronic Libraries

Van Rijsbergen, C. J.; Croft, W. B. – Information Processing and Management, 1975
The single-link cluster method is used to construct a hierarchic classification for the 1400 documents in the Cranfield test collection. A variety of retrieval strategies applied to this hierarchy are evaluated in terms of effectiveness and efficiency. (Author)
Descriptors: Classification, Cluster Grouping, Efficiency, Information Retrieval

Can, Fazli – Information Processing and Management, 1994
Discussion of relevancy in information retrieval systems focuses on an analysis of the efficiency of various cluster-based retrieval (CBR) strategies. A method for combining CBR and inverted index search is proposed that is cost effective in terms of time efficiency; and results of experiments are reported. (Contains 32 references.) (LRW)
Descriptors: Algorithms, Cluster Grouping, Comparative Analysis, Cost Effectiveness