Extracting Topics Based on Word2Vec and Improved Jaccard Similarity Coefficient

2017 ◽  
Author(s):  
Chunzi Wu ◽  
Bai Wang
Keyword(s):  
Similarity Coefficient ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient

scholarly journals ANALYSIS WINNOWING ALGORITHM FOR TEXT PLAGIARISM DETECTION USING THREE METHOD SIMILARITY

2021 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Luke Michael Febriansyah ◽  
Shinta Estri Wahyuningrum
Keyword(s):  
Detection Algorithm ◽  
Similarity Coefficient ◽  
Dice Similarity Coefficient ◽  
Plagiarism Detection ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient ◽  
Percentage Similarity ◽  
Check Algorithm

Cases of plagiarism in recent years has been an issues. Based on that issues, this research will create a system to detect similarity in a text. There is an aspect as reference of the research that is analyze the plagiarism algorithm. This research will analyze the accuracy one of plagiarism check algorithm, winnowing algorithm. Winnowing algorithm is a plagiarism detection algorithm based on document fingerprinting. To calculate percentage similarity of document fingerprinting in text, there are 3 methods to measure similarity that will be used in this research, which is jaccard similarity coefficient, sorensen dice similarity coefficient, and berg similarity coefficient.

scholarly journals Diversity in Cucumber Genotypes Based on Morphological Traits and SSR Molecular Markers

2017 ◽  
Vol 14 (2) ◽  
pp. 775-782 ◽  
Author(s):  
Sobhan Normohamadi ◽  
Mahmood Solouki ◽  
Forouzan Heidari
Keyword(s):  
Cluster Analysis ◽  
Ssr Markers ◽  
Genetic Similarity ◽  
Morphological Traits ◽  
Polymorphic Information Content ◽  
Germplasm Collection ◽  
Similarity Coefficient ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient ◽  
High Diversity

ABSTRACT: Biodiversity is one of the most important factors in the survival and improvement of any species. Therefore, germplasm collection is the first step for plant improvement. To investigate their genetic and morphological relationships, 10 morphological traits of 20 genotypes of local cucumbers were evaluated using 9 SSR primers. A high genetic variability was observed for the number of flowers per plant. The values of the Jaccard similarity coefficient ranged between 0.51 and 0.92, indicating a high diversity of the genotypes. To evaluate the genetic similarity among genotypes, a cluster analysis using the UPGMA method was performed based on the Jaccard similarity coefficient. The average genetic distance between genotypes (using the Jaccard similarity coefficient) was 0.74 and the mean polymorphic information content (PIC) was 0.69. The primer SSR13251 had the highest PIC (0.8). The clustering pattern of the SSR markers did not coincide with the groupings based on quantitative traits. A dendrogram of the cluster analysis of molecular data showed a high diversity among the studied genotypes. The highest genetic similarity was between genotypes 2 and 3 (0.94), and the lowest genetic similarity was between genotypes 6 and 12 (0.51). The results suggest that SSR markers are a suitable tool to study the genetic diversity and relationships among different genotypes in cucumber.

scholarly journals Analysis of genetic diversity of sugar beet genotypes using random amplified polymorphic DNA marker

Genetika ◽  
2014 ◽  
Vol 46 (3) ◽  
pp. 975-984 ◽  
Author(s):  
Ali Ghasemi ◽  
Ahmad Golparvar ◽  
Mehdi Isfahani
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Sugar Beet ◽  
Plant Breeding ◽  
Random Amplified Polymorphic Dna ◽  
Similarity Coefficient ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient ◽  
Plant Breeding Program ◽  
Efficiency Of Selection

Plant breeding programs are formulated based on the diversity and selection of superior quantitative and qualitative traits. Hence, assessment of genetic diversity is the first step of every plant breeding program. In this regard, use of new methods for studying genetic diversity seems necessary. In the present study, the genetic diversity of thirty sugar beet genotypes was determined using Random Amplified Polymorphic DNA (RAPD) marker. Following the DNA extraction and optimization of experiment conditions, of the 40 primers under study, 10 primers that induced polymorphism and produced good and clear bands in the genotypes of sugar beet were randomly selected. Statistical calculations were carried out based on the Jaccard similarity coefficient and UPGMA-based grouping in the NTSYS software (version 2.02). The amplitude of the multiplied bands varied between 100 and 3000 of alkaline pair. The polymorphism of all primers was 82.33% within the similarity limit. The Cophenetic coefficient for the similarity matrix and the resulting curve was obtained to be r=0.75. Genotypes 4 and 18 with a similarity coefficient of 0.91% demonstrated the highest similarity while genotypes 21 and 15 with a similarity coefficient of 0.63% showed the lowest similarity. Of the primers in use, the OPB-18 primer produced 12 bands (the highest number of bands) and the OPA-09 primer produced 5 bands (the lowest number of bands). Cluster analysis also confirmed the results obtained from the profiles produced in the genetic differentiation of cultivars under study as well as the correlations resulting from the Jaccard similarity coefficient. Finally, genotypes were categorized into 13 groups based on the results and resulting dendrogram. Results of the cluster analysis performed using the Jaccard similarity coefficient revealed the genetic diversity among genotypes that emphasize on efficiency of selection in sugar beet genotypes.

scholarly journals Genetic Relatedness among Dendrobium (Orchidaceae) Species and Hybrids Using Morphological and AFLP Markers

HortScience ◽  
2014 ◽  
Vol 49 (5) ◽  
pp. 524-530
Author(s):  
Lydia E. Wahba ◽  
Nor Hazlina ◽  
A. Fadelah ◽  
Wickneswari Ratnam
Keyword(s):  
Genetic Relatedness ◽  
Morphological Characters ◽  
Similarity Coefficient ◽  
Aflp Analysis ◽  
Jaccard Similarity ◽  
Aflp Data ◽  
Data Set ◽  
Combined Analysis ◽  
Jaccard Similarity Coefficient ◽  
Combined Data

Dendrobium is one of the largest genera in the Orchidaceae family. Information on the genetic diversity and relationships among species and hybrids is important for breeding purposes and species conservation. The objectives of this study were to assess genetic relatedness and to determine whether morphological, molecular, or combined analysis can discriminate among Dendrobium species, commercial hybrids, and interspecific hybrids. A total of 81 Dendrobium accessions were characterized with 12 amplified fragment length polymorphism (AFLP) primer pairs and 21 morphological characters. Mean genetic relatedness for morphological characters, AFLP analysis, and combined analysis were 0.61, 0.37, and 0.43, respectively. Dendrograms were generated using an unweighted pair group method with arithmetic averages (UPGMA); the analysis was performed on a Jaccard similarity coefficient matrix. The data from morphological characters revealed that the Jaccard similarity coefficient ranged from 0.20 to 1.0, where the tested 81 Dendrobium accessions could be grouped into four clusters. For the AFLP analysis, the number of polymorphic fragments for each primer varied from 80 to 284 with 78% average percentage of polymorphic loci and the similarity coefficient ranging from 0.125 to 1.0 with Dendrobium accessions grouped into three clusters. The similarity coefficients estimated through a combined analysis of morphological and AFLP data ranged from 0.21 to 1.0 and the Dendrobium accessions appeared clustered into two groups. The results revealed some similarities among the three data sets. The combined data set was the most useful in discriminating Dendrobium accessions based on species sections and relationship among species and their hybrids. The correlation between the AFLP data and the combined data was highly significant (r = 0.98, P > 0.001), indicating the usefulness of AFLP data for species discrimination and hybrid identity in the absence of floral morphological characters.

Updating Work Roles Using Criticality and the Jaccard Similarity Coefficient

2006 ◽  
Author(s):  
W. Benjamin Porr ◽  
Dustin W. Scott ◽  
Thomas A. Stetz ◽  
Julie A. Cincotta ◽  
Scott B. Button
Keyword(s):  
Similarity Coefficient ◽  
Work Roles ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient

scholarly journals Vietnamese Text Classification with TextRank and Jaccard Similarity Coefficient

2020 ◽  
Vol 5 (6) ◽  
pp. 363-369
Author(s):  
Hao Tuan Huynh ◽  
Nghia Duong-Trung ◽  
Dinh Quoc Truong ◽  
Hiep Xuan Huynh
Keyword(s):  
Text Classification ◽  
Similarity Coefficient ◽  
Jaccard Similarity ◽  
Jaccard Similarity Coefficient

scholarly journals Reptiles in the Pontianak and Kubu Raya Residental Area, West Kalimantan, Indonesia

2021 ◽  
Vol 22 (7) ◽  
Author(s):  
Anandita Eka Setiadi ◽  
HANUM MUKTI RAHAYU
Keyword(s):  
Diversity Index ◽  
Monitoring And Evaluation ◽  
Similarity Coefficient ◽  
Residential Areas ◽  
Jaccard Similarity ◽  
West Kalimantan ◽  
Jaccard Similarity Coefficient ◽  
Field Guides ◽  
Wiener Diversity Index ◽  
Reptile Species

Abstract. Setiadi AE, Rahayu HM. 2021. Reptiles in the Pontianak and Kubu Raya Residental Area, West Kalimantan, Indonesia. Biodiversitas 22: 2763-2770. The increase in population is directly proportional to housing needs. Expansion of residential areas can threaten the diversity of reptiles in West Kalimantan. This study aims to inventory and identify the diversity of reptiles in residential areas in Pontianak and Kubu Raya, West Kalimantan province, Indonesia. This research gives a better understanding of reptilian urban species to support monitoring and evaluation of biodiversity in West Kalimantan. This research uses the descriptive exploratory method. Four study areas were selected based on a proportion of impervious surfaces. Data collection used the VES (Visual Encounter Survey). Identification refers to Reptile field guides and identification books. The data were analyzed descriptively qualitatively, the level reptile diversity was analyzed using the Shannon Diversity Index, and the similarities of reptiles between the residential area in Pontianak and Kubu Raya were assessed using the Jaccard similarity coefficient. The results showed, from 50 individual reptiles found in Pontianak and Kubu Raya, there were 13 reptile species from the order Squamata and the order Testudines. The Shannon-Wiener Diversity Index of 2.26 and Jaccard similarity coefficient 0.384, indicating that the level of diversity of reptile species in the two study areas is classified as moderate.

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