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A Modified K-Means Algorithm - Two-Layer K-Means Algorithm

2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2014
In this paper, a modified K-means algorithm is proposed to categorize a set of data. K-means algorithm is a simple and easy clustering method which can efficiently classify a large number of continuous numerical data of high-dimensions. Moreover, the data in each cluster are similar to one another.
Chen-Chung Liu   +3 more
openaire   +2 more sources

Generalized Reduced K–Means

Computational Statistics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bottazzi Schenone, Mariaelena   +2 more
openaire   +3 more sources

-Means: A new generalized k-means clustering algorithm

Pattern Recognition Letters, 2003
Summary: This paper presents a generalized version of the conventional \(k\)-means clustering algorithm. Not only is this new one applicable to ellipse-shaped data clusters without dead-unit problem, but also performs correct clustering without pre-assigning the exact cluster number.
openaire   +1 more source

Spherical k-Means++ Clustering

2015
k-means clustering (KM) algorithm, also called hard c-means clustering (HCM) algorithm, is a very powerful clustering algorithm [1, 2], but it has a serious problem of strong initial value dependence. To decrease the dependence, Arthur and Vassilvitskii proposed an algorithm of k-means++ clustering (KM++) algorithm on 2007 [3].
Yasunori Endo, Sadaaki Miyamoto
openaire   +2 more sources

Transmission of A Malignant New Growth By Means of A Cell-Free Filtrate

Ca-A Cancer Journal for Clinicians, 1972
P Rous
exaly  

Robustness Properties of k Means and Trimmed k Means

Journal of the American Statistical Association, 1999
Luis Angel Garcia-Escudero   +1 more
openaire   +1 more source

The global k-means clustering algorithm

Pattern Recognition, 2003
Aristidis Likas, Nikos Vlassis
exaly  

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