output
20102024
most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

2 papers · 1 filter

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…