achieve

Measurements at the beginning of the 4th grade (when the national
  average is 4.0) and of the 6th grade in 25 schools in New Haven.

datasets

The main function kcca implements a general framework for
        k-centroids cluster analysis supporting arbitrary distance
        measures and centroid computation. Further cluster methods
        include hard competitive learning, neural gas, and QT
        clustering. There are numerous visualization methods for
        cluster results (neighborhood graphs, convex cluster hulls,
        barcharts of centroids, ...), and bootstrap methods for the
        analysis of cluster stability.

Friedrich Leisch

flexclust

Flexible Cluster Algorithms

achieve function

<url>http://www.uni-koeln.de/themen/statistik</url>

achieve: Achievement Test Scores for New Haven Schools

Description

Usage

Arguments

source

References