Martin Lubinda Simasiku, Ejiet John Wasige, Langa Tembo Cluster analysis, cotton, fiber, seed yield, variability 86-94 5 (4 ) 2021 October 2021 Cotton is an important cash crop in the world and is mainly grown for its fibre in Zambia. The objective of this study was therefore to cluster the cotton genotypes into distinctive grouping. Thirty genotypes were planted in an incomplete block design replicated three times, in seven sites. Several agronomic traits were recorded and mean performance noted. Data analysis using principle components revealed that the parameters, number of bolls and seed cotton yield (SCY) with loading scores of 0.52 and 0.51 respectively, were the best at discriminating genotypic performance. Implying that where resources are limiting, genotypic selection can only be employed based on number of bolls and SCY. In this study, the most dissimilar paired parental genotypes were identified as MG27 (from cluster group A) and MG5 (from cluster group C) with a similarity value of 29.7 %. This parental cross (MG27 X MG5) is expected to create maximum genetic variability among offspring’s, creating a wider spread of choice in selecting for desirable genotypes for release or being used as parents in other crosses.