Spherical k-Means Clustering by Kurt Hornik, Ingo Feinerer, Martin Kober, Christian Buchta

“…Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency. Spherical k-means clustering is one approach to address both issues, employing cosine dissimilarities to perform prototype-based partitioning of term weight representations of the documents.This paper presents the theory underlying the standard spherical k-means problem and suitable extensions, and introduces the R extension package skmeans which provides a computational environment for spherical k-means clustering featuring several solvers: a fixed-point and genetic algorithm, and interfaces to two external solvers (CLUTO and Gmeans). …”
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Online k-means clustering by Cohen-Addad, V, Guedj, B, Rom, G

Unsupervised K-Means Clustering Algorithm by Kristina P. Sinaga, Miin-Shen Yang

“…Experimental results and comparisons actually demonstrate these good aspects of the proposed U-k-means clustering algorithm.…”
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The LINEX Weighted k-Means Clustering by Narges Ahmadzadehgoli, Adel Mohammadpour, Mohammad Hasan Behzadi

“…LINEX weighted k-means is a version of weighted k-means clustering, which computes the weights of features in each cluster automatically. …”
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Kernel Probabilistic K-Means Clustering by Bowen Liu, Ting Zhang, Yujian Li, Zhaoying Liu, Zhilin Zhang

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K-Means Clustering With Incomplete Data by Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin

Subjects: “…K-means clustering…”
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Dimensionality reduction for k-means clustering by Musco, Cameron N. (Cameron Nicholas)

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K-Means Clustering with Local Distance Privacy by Mengmeng Yang, Longxia Huang, Chenghua Tang

Subjects: “…k-means clustering…”
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On the Geodesic Distance in Shapes K-means Clustering by Stefano Antonio Gattone, Angela De Sanctis, Stéphane Puechmorel, Florence Nicol

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Private k-means clustering : algorithms and applications by Xiang, Chongyuan

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Asymptotic properties of bivariate k-means clusters by Wong, M. Anthony.

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Hybrid optimization for k-means clustering learning enhancement / by Yousef Farhang, 1978-, author 599896, Siti Mariyam Shamsuddin 289532, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Hybrid optimization for k-means clustering learning enhancement / by Yousef Farhang, 1978-, author 599896

The impact of neglecting feature scaling in k-means clustering. by Chantha Wongoutong

“…Despite the popularity of k-means clustering, feature scaling before applying it can be an essential yet often neglected step. …”
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LINEX K-Means: Clustering by an Asymmetric Dissimilarity Measure by Narges Ahmadzadehgoli, Adel Mohammadpour, Mohammad Hassan Behzadi

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Cyberbullying Analysis on Instagram Using K-Means Clustering by Ahmad Muhariya, Imam Riadi, Yudi Prayudi

“…For this reason, the research focuses on analyzing cyberbullying on Instagram by applying the K-Mean Clustering algorithm. This algorithm is used to classify cyberbullying actions contained in comments. …”
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On K-means clustering-based approach for DDBSs design by Ali A. Amer

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K-means clustering for optimization of spare parts delivery by Kaushik D Ramgude, N.R. Rajhans

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K-Means cluster analysis in earthquake epicenter clustering by Pepi Novianti, Dyah Setyorini, Ulfasari Rafflesia

“…The data is taken from single-station Agency Meteorology, Climatology and Geophysics (BMKG) Kepahiang Bengkulu. K-Means clustering using Euclidean distance method is used in this analysis. …”
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K-Means Clustering Approach for Improving Financial Forecasts by Țole Alexandru - Adrian

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