Introduction to Cluster Analysis
Date:
02/03/2017
Organised by:
University of Manchester
Presenter:
Kitty Lymperopoulou
Level:
Entry (no or almost no prior knowledge)
Contact:
Michelle Kelly
cmist-courses@manchester.ac.uk
0161 275 4579
Map:
View in Google Maps (M13 9PL)
Venue:
The University of Manchester
Humanities Bridgeford Street Building
Description:
Outline
The course covers cluster analysis concepts and methods in SPSS. It is aimed at those with an interest in developing practical skills to implement clustering techniques and those with an interest in area typologies and classifications.
Course objectives
Participants will develop an understanding of clusterIng methods and procedures in SPSS. By the end of the course they will be able to carry out preliminary analysis to select and transform variables for cluster analysis, choose a clustering method, evaluate and choose cluster solutions, interpret clusters and present cluster analysis results. Hierarchical and non-hierarchical cluster analysis will be applied to 2011 Census local area data to produce an area classification to group areas with similar overall population characteristics into clusters.
Cost:
£195 (£140 for those from educational, government and charitable institutions).
Website and registration:
http://www.cmist.manchester.ac.uk/study/short/introductory/cluster-analysis/
Region:
North West
Keywords:
Quantitative Data Handling and Data Analysis, Cluster analysis , K-Means , Hierarchical , area classification , geodemographics
Related publications and presentations:
Quantitative Data Handling and Data Analysis