Data mining; SAS (Computer program language); Fuzzy algorithms
Clustering is the process of placing data records into homogenous groups. Members of each group are similar to one another and highly different from members outside the group. The clusters are used for predictive analysis (what will happen), for...
Multivariate analysis; Stratified sets; Bayesian statistical decision theory
Data mining, at times, involves applying cluster analysis to large databases
containing multivariate normal parameters. Most finite mixture clustering methods use
the expectation-maximum (EM) algorithm to find solutions to the unknown parameters,...
The focus on communities and their impact on characters, individually and in
groups, is a major theme that runs throughout Toni Morrison's novels. It is when the
communities are in conflict with each other and their members that Morrison reveals...
School superintendents -- Connecticut; Academic achievement -- Connecticut
What is the instructional leadership role of superintendents in districts with sustained high levels of student achievement and/or where student achievement has improved over time? The objective of the study was to identify characteristics of...
