, consistency of contracts and recognizes valuable contributions • Employ an open loop evaluation system that allows ongoing tracking, [12] analysis, communication and synthesis and communication of findings for continuous improvement of the faculty and the institution • Require more equitable scrutiny and evaluation among various faculty [13] groups to communicate the need for quality irrespective of faculty status •Allow time for active learning for adjunct faculty including reflection, [12] writing and self-improvement audits College Communication • Integrate the use of two way communication platforms and powerful [4] technological tools into processes to help build rapport
include clustering, geneticalgorithms, and hill climbing optimization. The latter is the approach we take.2.1 ClusteringClustering algorithms can be used to group data using some measure of similarity. They work by groupingpoints which are close together into the same clusters. In common approaches such as k-means or fuzzyc-means clustering, this is done by repeatedly assigning points to clusters based on cluster centroidsand updating cluster centroids to reflect the newly assigned points until convergence. This approach iscomputationally efficient, but poses some challenges. Clustering algorithms are inherently designed togroup similar points together, which limits these algorithms to producing homogeneous groups. And whileclustering algorithms