  The Government of Kerala had increased the frequency of supply of free food
kits owing to the pandemic, however, these items were static and not indicative
of the personal preferences of the consumers. This paper conducts a comparative
analysis of various clustering techniques on a scaled-down version of a
real-world dataset obtained through a conjoint analysis-based survey.
Clustering carried out by centroid-based methods such as k means is analyzed
and the results are plotted along with SVD, and finally, a conclusion is
reached as to which among the two is better. Once the clusters have been
formulated, commodities are also decided upon for each cluster. Also,
clustering is further enhanced by reassignment, based on a specific cluster
loss threshold. Thus, the most efficacious clustering technique for designing a
food kit tailored to the needs of individuals is finally obtained.
