Subtractive clustering
Breast Cancer Risk Assessment Using adaptive neuro-fuzzy inference system (ANFIS) and Subtractive Clustering Algorithm
... In this study, a final ANFIS model was developed from a standard dataset, and was tested with the same and real data on breast cancer. This model, established on the records of the Wisconsin breast cancer database, is a ...
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Subtractive Clustering Based RBF Neural Network Model for Outlier Detection
... The remainder of this paper is organized as follows. In section 2, the subtractive clustering method is introduced. We can use the algorithm to select the hidden node centers for RBF neural network. In ...
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Optimized subtractive clustering for cluster-based compound selection
... In this project, it is important to understand the chemoinformtic, process of similarity searching, clustering method and subtractive clustering. At the end of Project I, the main goal is to have ...
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Automatic sweet pepper detection based on point cloud images using subtractive clustering
... and clustering between fruits in natural environments and the shape of many fruits is irregular, methods based on fruit shape detection in previous literature are not effective in some ...on subtractive ...
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Application of Incremental Relational Fuzzy Subtractive clustering Algorithm for Web Profile mining in Dynamic Environment
... When clustering the user sessions, it customary to exploit the Web site hierarchy to give partial weights in the session similarity between URLs that are distinct and yet located closer together on this ...
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Design and analysis of cross layer approach in the detection of blackhole attacks using Adaptive Neuro Fuzzy Inference System
... the clustering techniques take larger time to detect the blackhole ...FCM clustering is more compared to the one with subtractive ...of clustering technique in the detection ...with ...
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Applying interval type 2 fuzzy rule based classifiers through a cluster based class representation
... and clustering methods [18] ...called Subtractive Clustering (based on determining a potential value as cluster center to each point in terms of its distance to the rest of the points in the space) ...
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Analysis of Customer Churn by Big Data Clustering
... of clustering paradigm using unsupervised model to cluster the significant information for inadequate data as most of the data finds to be imbalanced in the existing clusters of data ...a clustering ...
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Context-Based Gustafson-Kessel Clustering with Information Granules
... similarity. Clustering algorithms are frequently used in conjunction with Radial Basis Function Networks (RBFN) or Fuzzy Modeling (FM) primarily to determine initial locations for radial basis functions or fuzzy ...
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RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS METHOD
... The fuzzy subtractive clustering method is a method of unsupervised clustering where the number of central cluster is unknown. This method is using the data as a candidate of the cluster, so that the ...
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A new type of distance metric and its use for clustering
... the subtractive clustering algorithm is able to produce high quality clustering results on the datasets with Gaussian ...mean-shift clustering algorithm is one of the most efficient ...
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Scalable Matching and Clustering of Entities with FAMER
... several clustering methods for single-source ...correlation clustering [20], Center [19], Merge Center [19], and two versions of Star [21] clustering in addition to connected components as a baseline ...
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The Development of a Recognition Geometry Algorithm for Hybrid – Subtractive and Additive Manufacturing
... and subtractive technologies have to be combined, while the CAD model has to be imaginarily split into two parts: a first module for machining and a second for additive technology, added directly onto the first ...
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Mother-Tongue Based Second Language Instruction In The Indian Rural Multilingual Context
... into subtractive language learning in the form of submersion education in the dominant language and leads to poor educational achievement reinforcing inequality and leading to capability ...
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The application of subtractive hybridisation to detect intra species variation in Campylobacter jejuni
... This study demonstrates that the PCR-based subtractive hybridisation method was reproducible and has the potential to identify fragments corresponding to genes with relevance to virulenc[r] ...
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Clustering based information retrieval with the aco and the k-means clustering algorithm
... partitional clustering of documents to differentiate each ...document clustering in the proposed scheme depends on the selected features using the k-means clustering ...
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From Bengali to English: sequential bilingualism of a second-generation British Bangladeshi
... Keywords: Subtractive Bilingualism, Sequential Bilingualism, Second Language Acquisition, Ethnic Identity, Language Maintenance, Language Shift.. Abstract:.[r] ...
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Keratocan Expression Is Increased in the Stroma of Keratoconus Corneas
... PCR-select subtractive hybridization (Clontech) was performed. Briefly, each cDNA library was di- gested with Rsa I to create blunt end fragments. For each experiment, one cDNA sample (e.g., normal control or PBK) ...
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Differential gene expression at coral settlement and metamorphosis: a subtractive hybridization study
... Other pool A transcripts that show expression predominantly in the aboral region of the planula and metamorphosing larva are A9 Figure 8, encoding an extracellular von Willebrand factor [r] ...
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Methods to find out the expression of activated genes
... Subtractive hybridization with hydroxylapatite separation The test mRNA is reverse transcribed into cDNA [23]. This is hybridized with the mRNA of the control sample (Fig. 2). A portion of the test cDNA ...
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