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
crossing over
There is no 'deletion chromosome'. You mean chromosome deletion, and it is a phenomenon where a chromosome disappears from cell's genetic layout.
chromosome 17 The correct answer is chromosome 15
Chromosome does not have an antonym.
A metacentric chromosome is one in which the centromere is located in the center of the chromosome.
crossing over
An x chromosome is specifically a feminine chromosome. With a x and y chromosome its male, with a x and x, it is a female.
chromosome 1 chromosome 1
There is no 'deletion chromosome'. You mean chromosome deletion, and it is a phenomenon where a chromosome disappears from cell's genetic layout.
chromosome 17 The correct answer is chromosome 15
Chromosome does not have an antonym.
No. An 'X' chromosome looks like an 'X'. The 'Y' chromosome looks like a deformed 'X'. It is noticeably different to an 'X' chromosome. Also, the 'Y' chromosome is only a third of the size of an 'X' chromosome - an 'X' chromosome is 155 million base pares, while the 'Y' chromosome is only 58 million base pairs.
chromosome.
A metacentric chromosome is one in which the centromere is located in the center of the chromosome.
in Patau there is an extra chromosome in chromosome 13, in Edwars it the extra chromosome is in chromosome 18
The gene that causes cystic fibrosis is located on chromosome 7, which is an autosome, not a sex chromosome.
Smallest to largest: Gene (a place on a chromosome); chromosome (there are 46 in human cells); and DNA (because it accounts for all the genetic material in a cell).