نتایج جستجو برای: k mean clustering algorithm

تعداد نتایج: 1685147  

Journal: :Asia-pacific Journal of Convergent Research Interchange 2020

One of the main techniques used in data mining is data clustering, which has many applications in computer science, biology, and social sciences. Constrained clustering is a type of clustering in which side information provided by the user is incorporated into current clustering algorithms. One of the well researched constrained clustering algorithms is called microaggregation. In a microaggreg...

2011
Keerthiram Murugesan Jun Zhang

In this paper, we present a hybrid clustering method that combines the divisive hierarchical clustering with the agglomerative hierarchical clustering. We used the bisect K-means divisive clustering algorithm in our method. First, we cluster the document collection using bisect K-means clustering algorithm with K’ > K as the total number of clusters. Second, we calculate the centroids of K’ clu...

Journal: :Data Knowl. Eng. 2007
Amir Ahmad Lipika Dey

Use of traditional k-mean type algorithm is limited to numeric data. This paper presents a clustering algorithm based on k-mean paradigm that works well for data with mixed numeric and categorical features. We propose new cost function and distance measure based on co-occurrence of values. The measures also take into account the significance of an attribute towards the clustering process. We pr...

2016
Pooja Pandey Ishpreet Singh

Clustering in data mining is very important to discover distribution patterns and this importance tends to increase as the amount of data grows. It is one of the main analytical methods in data mining and its method influences its results directly. K-means is a typical clustering algorithm[3]. It mainly consists of two phases i.e. initializing random clusters and to find the nearest neighbour. ...

Mohammad Bagher Menhaj Tahereh Esmaeili Abharian

Knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. Due to properly converting the task of optimization to an equivalent...

Journal: :Conference SENATIK STT Adisutjipto Yogyakarta 2018

Journal: :Jurnal Sistim Informasi dan Teknologi 2022

Penggunaan trafik internet dalam suatu kantor pemerintah perlu diawasi secara cermat untuk memperoleh efisiensi pemakaiannya baik dan tepat guna. Jalur yang telah disediakan merupakan fasilitas resmi dibiayai dari anggaran bersumber rakyat sehingga cermat. Domain Name System (DNS) menyediakan data kaya menarik, serta dapat diekstraksi mengungkap informasi bisa dianalisis bagi berbagai keperluan...

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