AIMC Topic: Cluster Analysis

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[The blind source separation method based on self-organizing map neural network and convolution kernel compensation for multi-channel sEMG signals].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface electromyogram (sEMG) signals is proposed in this paper. Unsupervised learning and clustering function of self-organizing map (SOM) neural network are e...

A multi-stage random forest classifier for phase contrast cell segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
We present a machine learning based approach to automatically detect and segment cells in phase contrast images. The proposed method consists of a multi-stage classification scheme based on random forest (RF) classifier. Both low level and mid level ...

Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Segmentation is the basic and important step for digital image analysis and understanding. Segmentation of acne lesions in the visual spectrum of light is very challenging due to factors such as varying skin tones due to ethnicity, camera calibration...

Multiple fuzzy c-means clustering algorithm in medical diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases...

An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for chronic bronchitis have been reported in existing research.

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.

IEEE/ACM transactions on computational biology and bioinformatics
Performing clustering analysis is one of the important research topics in cancer discovery using gene expression profiles, which is crucial in facilitating the successful diagnosis and treatment of cancer. While there are quite a number of research w...

A New Semantic Functional Similarity over Gene Ontology.

IEEE/ACM transactions on computational biology and bioinformatics
Identifying functionally similar or closely related genes and gene products has significant impacts on biological and clinical studies as well as drug discovery. In this paper, we propose an effective and practically useful method measuring both gene...

Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.

Studies in health technology and informatics
The massive accumulation of biomedical knowledge is reflected by the growth of the literature database MEDLINE with over 23 million bibliographic records. All records are manually indexed by MeSH descriptors, many of them refined by MeSH subheadings....

Optimizing artificial neural network models for metabolomics and systems biology: an example using HPLC retention index data.

Bioanalysis
BACKGROUND: Artificial Neural Networks (ANN) are extensively used to model 'omics' data. Different modeling methodologies and combinations of adjustable parameters influence model performance and complicate model optimization.