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Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm
M. Emre Celebi, Hassan A. Kingravi
Over the past five decades, k-means has become the clustering algorithm of choice in many application domains primarily due to its simplicity, time/space efficiency, and invariance…
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…
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…