A GENETIC GRAPH-BASED APPROACH FOR PARTITIONAL CLUSTERING
نویسندگان
چکیده
منابع مشابه
A Genetic Graph-Based Approach for Partitional Clustering
Clustering is one of the most versatile tools for data analysis. In the recent years, clustering that seeks the continuity of data (in opposition to classical centroid-based approaches) has attracted an increasing research interest. It is a challenging problem with a remarkable practical interest. The most popular continuity clustering method is the spectral clustering (SC) algorithm, which is ...
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Three approaches to partitional clustering using genetic algorithms (GA) are compared with k-means and the EM algorithm for three real world datasets (Iris, Glass and Vowel). The GA techniques differ in their encoding of the clustering problem using either a class id for each object (GAIE), medoids to assign objects to the class associated with the nearest medoid (GAME), or parameters for multi...
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Clustering algorithms consist in automatically discovering structure of large data set or providing coherent groups of objects independent of any user-defined classes. They are used in many domains: astronomy, information retrieval, image segmentation, biological applications and so on. Several clustering techniques have been proposed [1], there are either hierarchical techniques or partitionin...
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Introduction: The emergence of single-cell RNA-sequencing (scRNA-seq) technology has provided new information about the structure of cells, and provided data with very high resolution of the expression of different genes for each cell at a single time. One of the main uses of scRNA-seq is data clustering based on expressed genes, which sometimes leads to the detection of rare cell populations. ...
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ژورنال
عنوان ژورنال: International Journal of Neural Systems
سال: 2014
ISSN: 0129-0657,1793-6462
DOI: 10.1142/s0129065714300083