Search Results - "K-means clustering algorithm"

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

“…The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature…”
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The MinMax k-Means clustering algorithm by Tzortzis, Grigorios, Likas, Aristidis

“…Applying k-Means to minimize the sum of the intra-cluster variances is the most popular clustering approach. However, after a bad initialization, poor local…”
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Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm by Dhanachandra, Nameirakpam, Manglem, Khumanthem, Chanu, Yambem Jina

“… There are different methods and one of the most popular methods is k-means clustering algorithm. K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background…”
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An efficient k′-means clustering algorithm by Žalik, Krista Rizman

“…This paper introduces k′-means algorithm that performs correct clustering without pre-assigning the exact number of clusters. This is achieved by minimizing a…”
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Unsupervised Multi-View K-Means Clustering Algorithm by Yang, Miin-Shen, Hussain, Ishtiaq

“…Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be…”
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Self-paced Learning for K-means Clustering Algorithm by Yu, Hao, Wen, Guoqiu, Gan, Jiangzhang, Zheng, Wei, Lei, Cong

“… The traditional K-means clustering algorithm is easily affected by the noise, outliers and falling into local optimal solution…”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhu, Zhangyao, Liu, Na

“… The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal solution…”
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Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm by Orlando Morais, Felipe, Andriani, Karla F, Da Silva, Juarez L F

“…Here, we report density functional theory calculations combined with the k-means clustering algorithm and the Spearman rank correlation analysis to investigate the stability mechanisms of eight-atom…”
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Multi-view K -means clustering algorithm based on redundant and sparse feature learning by Kong, Guoping, Ma, Yingcang, Xing, Zhiwei, Xin, Xiaolong

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Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks by Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome

“…Energy load balancing is an essential issue in designing wireless sensor networks (WSNs). Clustering techniques are utilized as energy-efficient methods to…”
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A comparative study of efficient initialization methods for the k-means clustering algorithm by Celebi, M. Emre, Kingravi, Hassan A., Vela, Patricio A.

“…► K-means is the most widely used partitional clustering algorithm. ► k-means is highly sensitive to the selection of the initial centers. ► We present an…”
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A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspots by Ran, Xiaojuan, Zhou, Xiangbing, Lei, Mu, Tepsan, Worawit, Deng, Wu

“…) hard problem, and has become an important research hotspot in recent years. A K-means clustering algorithm is an iterative clustering analysis algorithm…”
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Sparse K-means clustering algorithm with anchor graph regularization by Yang, Xiaojun, Zhao, Weihao, Xu, Yuxiong, Wang, Chang-Dong, Li, Bin, Nie, Feiping

“… To overcome these limitations, in this paper, we propose a sparse K-means clustering algorithm with anchor graph regularization (SKM-AGR…”
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Application of Fuzzy K-Means Clustering Algorithm in the Innovation of English Teaching Evaluation Method by Li, HongJie

“… to innovate and reform the English teaching evaluation method. With the wide application of modern information technology in English teaching, the fuzzy K-means clustering…”
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A feature-reduction multi-view k-means clustering algorithm by Yang, Miin-Shen, Sinaga, Kristina P.

“…The k-means clustering algorithm is the oldest and most known method in cluster analysis…”
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Identifying optimistic stocks with K-means clustering algorithm by Aslam, Bilal

“…Selecting stocks from a large number of active stocks is a critical and challenging investment decision due to high volatility and biased decision-making. The…”
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Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm by Li, Dong, Zhou, Shuisheng, Zeng, Tieyong, Chan, Raymond H.

“… xlink:href="zhou-ieq1-3342209.gif"/> </inline-formula> has to be given a priori. To solve these two issues, a multi-prototypes convex merging based K-Means clustering algorithm (MCKM) is presented…”
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An improved K-means clustering algorithm for fish image segmentation by Yao, Hong, Duan, Qingling, Li, Daoliang, Wang, Jianping

“…Fish contour extraction from images is the foundation of many fish image applications such as disease early warning and diagnostics, animal behavior, aquatic…”
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K-means Clustering Algorithm and Its Improvement Research by Zhao, YanPing, Zhou, XiaoLai

“…Clustering is a typical unsupervised learning method, and it is also very important in natural language processing. K-means is one of the classical algorithms…”
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A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification by Minh, Hoang-Le, Sang-To, Thanh, Abdel Wahab, Magd, Cuong-Le, Thanh

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