Search Results - Fuzzy KMeans Clustering algorithm

Optimization and Parallelization of Fuzzy Clustering Algorithm Based on the Improved Kmeans++ Clustering by Ma, Yu, Cheng, Wenjuan

“…In the field of big data, fuzzy clustering algorithm is one of the most widely used clustering algorithm…”
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Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans by Liu, Chien-Liang, Chang, Tao-Hsing, Li, Hsuan-Hsun

“…While focusing on document clustering, this work presents a fuzzy semi-supervised clustering algorithm called fuzzy semi-Kmeans…”
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A new approach for clustering in desulfurization system based on modified framework for gypsum slurry quality monitoring by Gu, Hui, Cui, Yanfeng, Zhu, Hongxia, Xue, Rui, Si, Fengqi

“… In this paper, an on-line clustering framework has been proposed to monitor gypsum slurry quality in desulfurization system based on data mining. Compound parameterγ…”
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Detecting malicious tweets in trending topics using clustering and classification by Soman, Saini Jacob, Murugappan, S.

“…Detection of spam Twitter social networks is one of the significant research areas to discover unauthorized user accounts. A number of research works have been…”
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Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering by Adnan, Rana Muhammad, Parmar, Kulwinder Singh, Heddam, Salim, Shahid, Shamsuddin, Kisi, Ozgur

“… The novel method is developed by hybridizing the multivariate adaptive regression spline (MARS) and the Kmeans clustering algorithm…”
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Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting by de Sa, Jose Nataniel A., Ferreira, Marcelo R.P., de Carvalho, Francisco de A.T.

“… Bringing this idea to co-clustering, we propose two kernel-based fuzzy co-clustering algorithms based on the fuzzy double Kmeans (FDK…”
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A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks by Karami, Amin, Guerrero-Zapata, Manel

“… Usually, clustering algorithms would fit the requirements for building a good anomaly detection system…”
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Trust Cop-Kmeans Clustering Analysis and Minimum-Cost Consensus Model Considering Voluntary Trust Loss in Social Network Large-Scale Decision-Making by Yu, Su-Min, Du, Zhi-Jiao, Zhang, Xue-Yang, Luo, Han-Yang, Lin, Xu-Dong

“…) serve as a reliable resource for clustering. This study proposes a trust Cop-Kmeans clustering algorithm, which is a semisupervised clustering technique using prior knowledge of trust constraints generated by trust relationships…”
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Prediction of human diseases using optimized clustering techniques by Enireddy, Vamsidhar, Finney Daniel shadrach, S., Shobha rani, P., Anitha, R., Vallinayagam, Sugumari, Maridurai, T., Sathish, T., Balakrishnan, E.

“…In this paper an attempt is made to study the unsupervised learning clustering algorithms such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods…”
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A clustering fuzzification algorithm based on ALM by Javadian, Mohammad, Malekzadeh, Ahad, Heydari, Gholamali, Bagheri Shouraki, Saeed

“… The proposed fuzzification method is applicable to all non-fuzzy clustering algorithms as a post process…”
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A novel unsupervised change detection approach based on reconstruction independent component analysis and ABC-Kmeans clustering for environmental monitoring by Atasever, Umit Haluk

“… In the last stage, clustering is performed. Kmeans tuned by Artificial Bee Colony (ABC-Kmeans) clustering technique has been developed and proposed by following a different strategy in the clustering phase…”
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A Combined Cluster-Chain based Routing Protocol for Lifetime Improvement in WSN by Bensaid, Rahil, Boujemaa, Hatem

“… Two clustering approaches are proposed and used in the algorithm, namely Kmeans and Fuzzy C-Means methods. First, \mathrm{K…”
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Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering by Saadi, F., Atmani, B., Henni, F.

“…Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving…”
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Segmentation of MR Images using Hybrid kMean-Graph Cut Technique by Dogra, Jyotsna, Jain, Shruti, Sood, Meenakshi

“… Since, different tumors in brain have diverse shapes, location and intensity value therefore; it is difficult to formulate a general algorithm for image segmentation…”
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ENERGY-EFFICIENT QOS AWARE DATA TRANSMISSION IN MANET USING KIF-SDKMEANS AND ZS-AOA by Ahirwar, Gajendra Kumar, Agarwal, Ratish, Pandey, Anjana

“…Mobile Ad-hoc Network (MANET) is one of the recent fields in wireless communication that involves a large number of wireless nodes. Energy efficiency in data…”
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Image Segmentation Using A Neoteric-Adaptive Fusion Of Fuzzy C-Means Clustering Model And Fuzzy Svm by Sumathy, S, Radha, D

“… A clustering algorithm screens records that are keen on numerous groups in such a way that the resemblance inside a group is enhanced than between groups…”
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Soil data clustering by using K-means and fuzzy K-means algorithm by Hot, Elma, Popovic-Bugarin, Vesna

“… To that aim, K-means and fuzzy K-means algorithms are adapted for soil data clustering. A database of soil characteristics sampled in Montenegro is used for a comparative analysis of implemented algorithms…”
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Parallel Fuzzy K-Means Clustering on Top of an Olap Database by Κιούρτης, Αθανάσιος, Kiourtis, Athanasios

“… the clustering field, whose algorithms can group unknown data into multiple clusters.Needing to perform clustering in a distributed way, the framework of Hadoop is analyzed…”
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A STUDY AND ANALYSIS OF CLUSTERING ALGORITHMS ON HIV-1 INFECTION MICROARRAY DATASET FOR FINDING CLUSTER WISE COMMON GENES by Uma M, M S, S Uma M S

“…, statistical model of protein-protein interaction etc. The analyzing the clustering algorithms phase consist of four clustering algorithms namely K-means, Fuzzy c-means, Hierarchical algorithm and Partitioning Around Medoids(PAM…”
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Automatic Brain Tumour Detection using New Structure Algorithm by Javeed, Mohammad, Kumar, M.Senthil

“… Normally, CT scan or MRI images will be used for the detection of tumor. In this research, we want to introduce a method which is very advanced and accurate for brain tumor detection based on a new structure algorithm…”
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