| dc.description.abstract | This research uses K-means clustering to analyze
patterns in blockbuster movie releases over a 40-year period,
from 1975 to 2014. The dataset consists of the top 10 movies
produced in these years. Finding trends in box office
performance, audience response, and critical praise is the
main goal. The research focuses on important elements
including the duration of the film, its rating on Rotten
Tomatoes, its rating on IMDb, and its global gross profits. K means clustering is used to identify discrete groups of films
with different attributes, offering insights into the factors that
influence a film's cultural effect and appeal. The research
reveals certain patterns that have changed over time, with
important ramifications for producers, distributors, and other
business partners. Cluster analysis, for instance, shows how
audience tastes have changed, how critical acclaim correlates
with economic success, and what elements routinely affect box
office results. This study advances knowledge about the film
business by pointing out patterns that might be used to
forecast viewer behavior in the future and direct advertising
campaigns. As a result of the organized method of
comprehending the dynamics of successful movies, K-means
clustering appears to be a potent instrument for evaluating
intricate datasets in the entertainment sector. Stakeholders
may influence the future of cinema by identifying these
patterns and taking well-informed decisions that increase a
film's chances of success | en_US |
