Clustering is an important means of data mining based on separating data categories by
similar features. Unlike the classification algorithm, clustering belongs to the unsupervised …

One of the computer-aided technologies that is growing at a very fast speed is medicine.
Lots of research has already been done in which the nature of medical data was studied …

Many organizations in the world are seeking effective means to provide financial assistance
to brilliant but needy students. Many research works have been conducted to determine …

Multivariate statistical tools like cluster analysis have proved useful in characterizing and
studying genetic diversity of germplasm resources. Thus, this study was aimed at classifying …

Germplasm materials provide an opportunity for tapping advantages of natural diversity for
improvement. Adequate characterization for agronomic and morphological traits is …

Oil palm (Elaeis guineensis Jacq) is an important edible vegetable oil crop which produces
4-6 tonnes of crude palm oil/ha. As oil palm crop is introduced in India from Africa, it is …

Darkwah DO, Blay E, Amoatey H, Sapey E, Bakoume C, Agyei-Dwarko D. 2020. Genetic
diversity and selection within natural dura oil palm accessions collected in Ghana for oil …

Despite the fact that large Elaeis oleifera germplasm collections have been established and
evaluated, little is known about the genetic diversity of its population. For this purpose, 572 …

In data mining, classification learning is broadly categorized into two categories; supervised
and unsupervised. In the former category, the training example is learned and the hidden …

Elaeis oleifera es una palma originaria de América y existe poca investigación sobre los
parámetros genéticos para los programas de mejoramiento. Se evaluaron 24 progenies en …