Search Results - subject:"k means clustering"

An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks

Alphonse PJA; Sivaraj C; Janakiraman T N. - In: International Journal of Distributed Systems and … 8 (2017) 3, pp. 43-66

Efficient energy management is a key issue in battery equipped wireless sensor networks (WSNs). The cluster based routing in WSNs is a prominent approach for energy conservation of the network which provides a hierarchical data collection mechanism. In order to maximize the energy conservation...

Persistent link: https://www.econbiz.de/10012044184

Multi-Attribute Utility Theory Based K-Means Clustering Applications

Ma, Jungmok - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 2, pp. 1-12

One of major obstacles in the application of the k-means clustering algorithm is the selection of the number of … clusters k. The multi-attribute utility theory (MAUT)-based k-means clustering algorithm is proposed to tackle the problem by …

Persistent link: https://www.econbiz.de/10012044225

Facioscapulohumeral Muscular Dystrophy Diagnosis Using Hierarchical Clustering Algorithm and K-Nearest Neighbor Based Methodology

Pandey, Babita; Anand, Divya; Pandey, Devendra K. - In: International Journal of E-Health and Medical … 8 (2017) 2, pp. 33-46

The genetic diagnosis of neuromuscular disorder is an active area of research. Microarrays are used to detect the changes in genes for the accurate diagnosis. Unfortunately, the number of genes in gene expression data is very large as compared to number of samples. The number of genes needs to...

Persistent link: https://www.econbiz.de/10012044435

A Novel Hybridization of ARIMA, ANN, and K-Means for Time Series Forecasting

Huynh, Van-Nam; Pannakkong, Warut; Pham, Van-Hai - In: International Journal of Knowledge and Systems Science … 8 (2017) 4, pp. 30-53

), artificial neural networks (ANNs) and k-means clustering. The single models and k-means clustering are used to build the hybrid …

Persistent link: https://www.econbiz.de/10012046360

An Optimal Routing Algorithm for Internet of Things Enabling Technologies

Dhumane, Amol V.; Prasad, Rajesh S.; Prasad, Jayashree R. - In: International Journal of Rough Sets and Data Analysis … 4 (2017) 3, pp. 1-16

stage, the sensor nodes are clustered and an optimal cluster head is selected by using k-means clustering algorithm. The …

Persistent link: https://www.econbiz.de/10012047382

Decision quality of the research project evaluation mechanism by using particle swarm optimization

Seo, Young Wook; Lee, Kun Chang; Lee, Sangjae - In: Management Decision 55 (2017) 4, pp. 745-765

hybrid particle swarm optimization algorithms using the particle swarm optimization (PSO) algorithm and the conventional K-means … clustering method. Design/methodology/approach The clustering analysis experiment for each of the three fields of study – health …

Persistent link: https://www.econbiz.de/10014935287

Decision quality of the research project evaluation mechanism by using particle swarm optimization

Seo, Young Wook; Lee, Kun Chang; Lee, Sangjae - In: Management decision : MD 55 (2017) 4, pp. 745-765

Persistent link: https://www.econbiz.de/10011704439

Supervised Regression Clustering: A Case Study for Fashion Products

Tehrani, Ali Fallah; Ahrens, Diane - In: International Journal of Business Analytics (IJBAN) 3 (2016) 4, pp. 21-40

Clustering techniques typically group similar instances underlying individual attributes by supposing that similar instances have similar attributes characteristic. On contrary, clustering similar instances given a specific behavior is framed through supervised learning. For instance, which...

Persistent link: https://www.econbiz.de/10012043173

Design of an Expert System for Distribution Planning System using Soft Computing Techniques

Uddin, Shabbir; Ray, Amitava; Sherpa, Karma Sonam; … - In: International Journal of Energy Optimization and … 5 (2016) 2, pp. 45-63

the distribution planners. Here in this paper the authors present a hybridization of K-means clustering method with fuzzy … context aware decision algorithm for choosing the optimum location of distribution substation and its feeder layout. K means … clustering has been applied to various loads which are at different location to form a cluster with load points in closer …

Persistent link: https://www.econbiz.de/10012044544

Creating Student Interaction Profiles for Adaptive Collaboration Gamification Design

Knutas, Antti; Ikonen, Jouni; Maggiorini, Dario; … - In: International Journal of Human Capital and Information … 7 (2016) 3, pp. 47-62

interaction analysis and k-means clustering are used to create gamification preference profiles. These profiles can be used to …

Persistent link: https://www.econbiz.de/10012045100