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researcher

H. Kingravi

2 papers hereh-index 173.2k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations · 1.3k across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2013★ 51 cited

Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering

M. Emre Celebi, Hassan A. Kingravi

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…

cs.LG2012★ 1.2k cited

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…

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