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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Clustering of Fruits Image Based on Color and Shape Using K-Means Algorithm
verfasst von : Vidya Maskar, Kanchan Chouhan, Prashant Bhandare, Minal Pawar
Erschienen in: Techno-Societal 2020
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Abstract
Clustering Algorithm is an unsupervised machine learning technique. Unsupervised Machine learning well defined unknown patterns in data. Clustering is the process of organizing data into specific groups. Clustering is mainly deals with finding a structure or pattern in a collection of uncategorized data. Clustering has been studied for a long time by many researchers with different methods. In this project work, we deal with object clustering problem. Here, we proposed a K-means algorithm. K-means algorithm is the easiest and prominent unsupervised machine learning algorithm. We apply the K-means algorithm for grouping the fruits as per these features. The experiment conducted on small clustering dataset and results found that the K-means algorithm s help for clustering object.