HIGHLIGHTS
- who: Kmeans Algorithm and colleagues from the Research Scholar, Department of Computer Science, Gujarat University, India have published the Article: INDIAN JOURNAL OF SCIENCE AND TECHNOLOGY, in the Journal: (JOURNAL)
- what: The authors explore the potential of quartile-based seeding as a technique of accelerating the Needless to add as the seeding is the requirement to run K-means repeatedly with different stochastic initializations is completely eliminated. The authors propose a new deterministic initialization method based on quartiles named Quartile based deterministic Initialization Method for K-means algorithm (QuIK) to find better initial centroids for . . .
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