Clustering is a process of putting similar data into groups. This
paper presents data clustering using improved genetic algorithm
(IGA) in which an efficient method of crossover and mutation are
implemented. Further it is hybridized with the popular Nelder-
Mead (NM) Simplex search and K-means to exploit the
potentiality of both in the hybridized algorithm. The performance
of hybrid approach is evaluated with few data clustering
problems. Further a Variable Length IGA is proposed which
optimally finds the clusters of benchmark image datasets and the
performance is compared with K-means and GCUK[12].The
results revealed are very encouraging with IGA and its
hybridization with other algorithms
Clustering is a process of putting similar data into groups. This
paper presents data clustering using improved genetic algorithm
(IGA) in which an efficient method of crossover and mutation are
implemented. Further it is hybridized with the popular Nelder-
Mead (NM) Simplex search and K-means to exploit the
potentiality of both in the hybridized algorithm. The performance
of hybrid approach is evaluated with few data clustering
problems. Further a Variable Length IGA is proposed which
optimally finds the clusters of benchmark image datasets and the
performance is compared with K-means and GCUK[12].The
results revealed are very encouraging with IGA and its
hybridization with other algorithms
Clustering is a process of putting similar data into groups. Thispaper presents data clustering using improved genetic algorithm(IGA) in which an efficient method of crossover and mutation are implemented. Further it is hybridized with the popular Nelder-Mead (NM) Simplex search and K-means to exploit the potentiality of both in the hybridized algorithm. The performanceof hybrid approach is evaluated with few data clusteringproblems. Further a Variable Length IGA is proposed whichoptimally
finds the clusters of benchmark image datasets and theperformance is compared with K-means and GCUK[12].The results revealed are very encouraging with IGA and
its hybridization with other algorithms
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Chromosome K is not a standard designation in the field of genetics. It is possible that it may be a typographical error or an uncommon designation for a specific chromosome. Typically, human chromosomes are numbered from 1 to 22, with the sex chromosomes X and Y.
The short arm of a chromosome is denoted as "p" in chromosome nomenclature. For example, if a chromosome is labeled as 15p, it means that it is chromosome 15 with the short arm indicated.
Chromosome c can form through a process called genetic recombination or crossing over during meiosis. This process involves the exchange of genetic material between chromosomes a and b, leading to the creation of a new chromosome that contains a combination of genes from both parent chromosomes.
nucleus → chromosome → gene
Chromosome 21 is the smallest human chromosome. Inside of the chromosome, there are 48 billion nucleotides, the building blocks of DNA.
Any chromosome can be affected by changes in chromosome numbers. This can include trisomy (three copies of a chromosome), monosomy (one copy of a chromosome), or other abnormalities such as deletions or duplications. These changes can lead to genetic disorders or abnormalities.