Comparative analysis of clustering techniques in the  internet of things

Mohammed, Ahmed Burhan

doi:10.18844/gjit.v10i2.4746

Cited by 4 publications

(4 citation statements)

References 12 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this research, we have exploited two validity indices to define the optimum number of clusters, namely the silhouette index (SI) and the elbow method. The SI method, proposed previously [26], [29]- [33], calculates the difference between within-cluster and between-cluster distances as follows:…”

Section: Cluster Validity Indicesmentioning

confidence: 99%

“…Zscore is the most common approach to rescale variables with the mean and standard deviation of the original data. In this approach, the mean and variance of all transformed variables are 0 and 1, respectively [25], [29]. Descriptive statistics of assay data before standardisation and the categorical variables used in the clustering procedure are presented in Tables 1 and 2, respectively.…”

Section: Data Setmentioning

confidence: 99%

See 1 more Smart Citation

Geological domaining at Sungun porphyry copper deposit using cluster analysis

Nikfarjam

Hezarkhani

Aziz-Afshari

2022

GJCS

View full text Add to dashboard Cite

Geometallurgical sampling has an important role in the geometallurgical programme. There are some critical aspects to be considered in geometallurgical sampling. Cluster analysis (CA) is one of the most popular methods that aids in creating domains. This study aims to use CA to create Geological domaining at the Sungun porphyry copper deposit (SPCD). Geological domains of SPCD were defined using PCA and K-means clustering with one hot encoding algorithm. Categorical data were encoded with one hot method and then PCA was used to condense the large new data set to its relevant features. In this research, we have exploited two validity indices to define the optimum number of clusters, namely the silhouette index and the elbow method. Therefore, clustering was performed using four clusters and geological domains were partitioned. The richest domain in this deposit is the second cluster in which the average grades of Cu and Mo are higher than in other clusters. Keywords: Cluster analysis, geological domains, K-means, PCA, Sungun deposit;

show abstract

Section: Cluster Validity Indicesmentioning

confidence: 99%

Section: Data Setmentioning

confidence: 99%

Geological domaining at Sungun porphyry copper deposit using cluster analysis

Nikfarjam

Hezarkhani

Aziz-Afshari

2022

GJCS

View full text Add to dashboard Cite

show abstract

“…Mohammed, Ahmed Burhan (19). In this paper two clustering model are studied and compared i.e., Simple k-means and Improved self-organizing map (SOM) and it has been found that the Improved SOM performance is better than k-means, but it is also found that the performance is slow in creating clusters.…”

Section: Review Of Literaturementioning

confidence: 99%

IoT Data Analysis Using Different Clustering Algorithms: A Survey

Das¹,

Bora²

2022

ECS Trans.

View full text Add to dashboard Cite

There has been a major change in the rise of data creation and consumption due to the quick development of contemporary technology and the advent of the Internet of Things (IoT). With this shift comes a significant challenge in data management, with the goal of extracting useful information and patterns from the vast amount of unstructured IoT data. However, due to some limitations, we are still encountering issues and challenges in obtaining patterns and meaning information, and thus formulating a research agenda to get a sense of the challenges that one might encounter while conducting research on clustering of this massive chunk of unstructured IoT data. In light of these considerations, this study looks at some clustering methods that may be utilized when working with unstructured IoT data.

show abstract

“…Speech by its very nature is a spontaneous act, which cannot be obtained by external pressure. For the child to speak he should be willing to say something and be able to say it (Lenneberg, 1967;Mohammed, 2020).…”

Section: Introductionmentioning

confidence: 99%

The effect of game technology on the development of preschool children with speech disorders

Ibatova

Makhmetova

Zhoraeyeva³

et al. 2022

WJET

View full text Add to dashboard Cite

The purpose of the article was to analyze the psychological and pedagogical conditions of word-formation skills for Kazakh-speaking preschool children with speech disorders on the basis of learning theories and contemporary approaches. To achieve the set aim, we have studied psychophysiological peculiarities of preschool children with speech disorder. We have allocated the most significant learning theories and approaches, which promote the assimilation of word-formation. We have come to understand that the indicators of speech development of many modern Kazakh-speaking preschoolers do not correspond to the age norm, which is influenced by word-formation operations. For Kazakh-speaking preschool children with speech disorders it is rather difficult to distinguish elementary forms as the original word, consisting of a stem and a derivative by including diminutive-affectionate suffixes. The driving forces of word-formation development of Kazakh-speaking preschoolers with speech disorders are contradictions that arise in connection with the development of a number of its needs. It should be pointed out that game technology is considered as the most powerful pedagogical condition in the development of Kazakh-speaking preschool children with speech disorders. Keywords: Kazakh-speaking preschool children, psychological and pedagogical conditions, learning theories, approaches, word-formation, speech games

show abstract

Comparative analysis of clustering techniques in the internet of things

Cited by 4 publications

References 12 publications

Geological domaining at Sungun porphyry copper deposit using cluster analysis

Geological domaining at Sungun porphyry copper deposit using cluster analysis

IoT Data Analysis Using Different Clustering Algorithms: A Survey

The effect of game technology on the development of preschool children with speech disorders

Contact Info

Product

Resources

About