Results 311 to 320 of about 30,970,765 (331)

Generalized Reduced K–Means

Computational Statistics
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Bottazzi Schenone, Mariaelena, Rocci, Roberto, Vichi, Maurizio   +2 more
openaire   +3 more sources

K-Means Clustering

Encyclopedia of Machine Learning, 2021
Xin Jin, Jiawei Han
semanticscholar   +1 more source

An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis

Pattern Recognition, 2023
Hai-Ze Hu, Jianxun Liu, Xiang-Ping Zhang, Meng-Ge Fang   +3 more
semanticscholar   +1 more source

Data clustering: 50 years beyond K-means

Pattern Recognition Letters, 2008
Anil K. Jain
semanticscholar   +1 more source

-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

An Efficient k-Means Clustering Algorithm: Analysis and Implementation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, Angela Y. Wu   +5 more
semanticscholar   +1 more source

Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values

Data mining and knowledge discovery, 1998
Zhe-Xue Huang
semanticscholar   +1 more source

A k-means clustering algorithm

, 1979
J. Hartigan, M. A. Wong
semanticscholar   +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

Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity

Neural computing & applications (Print), 2022
R. Ghezelbash, A. Maghsoudi, M. Shamekhi, B. Pradhan, M. Daviran   +4 more
semanticscholar   +1 more source