Introduction to Cluster Analysis
Date:
09/02/2018
Organised by:
University of Manchester
Presenter:
Kitty Lymperopoulou
Level:
Entry (no or almost no prior knowledge)
Contact:
Anthony Bacon, 0161 2751980, cmist-courses@manchester.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
Humanities Bridgeford Street, University of Manchester. Oxford Road, Greater Manchester
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.
Prerequisites
Participants should have familiarity with SPSS and an understanding of basic data analytical techniques including correlation and regression analysis.
Cost:
£195 (£140 for those from educational, government and charitable institutions).
Website and registration:
https://www.cmist.manchester.ac.uk/study/short/booking/
Region:
North West
Keywords:
Data Management , Correlation, Categorical data analysis, Cluster analysis, Quantitative Approaches (other), Combining Qualitative and Quantitative Approaches, Cluster analysis , SPSS , area typologies , area classifications , Census data
Related publications and presentations:
Data Management
Correlation
Categorical data analysis
Cluster analysis
Quantitative Approaches (other)
Combining Qualitative and Quantitative Approaches