Browse Items (8 total)
Sort by:
Implementasi Algoritma K-Mean Clustering dan Mean-Variance Efficient Portfolio One Constrain dalam Optimasi Bobot Portofolio Saham
Klasterisasi (Clustering) merupakan teknik yang digunakan dalam analisis data untuk
mengelompokkan sekumpulan objek berdasarkan karakteristik tertentu, sedemikian hingga objek
dalam satu kelompok lebih mirip satu sama lain dibandingkan dengan…
mengelompokkan sekumpulan objek berdasarkan karakteristik tertentu, sedemikian hingga objek
dalam satu kelompok lebih mirip satu sama lain dibandingkan dengan…
K-Means Algorithm Implementation for Project Health Clustering
Indonesia has several companies that are engaged in the telecommunications sector. Various projects run in parallel to support
the success of telecommunications companies. A project’s potential can boost the company’s revenue and productivity. On…
the success of telecommunications companies. A project’s potential can boost the company’s revenue and productivity. On…
Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm
Clustering is a grouping of data used in data mining processing. K-means is one of the popular clustering algorithms, easy to
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
Solution to Scalability and Sparsity Problems in Collaborative Filtering using K-Means Clustering and Weight Point Rank (WP-Rank)
Collaborative Filtering is a method to be used in recommendation systems. Collaborative Filtering works by analyzing rating
data patterns. It is also used to make predictions of user interest. This process begins with collecting data and analyzing…
data patterns. It is also used to make predictions of user interest. This process begins with collecting data and analyzing…
Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale
Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During
the learning process, the collected academic score…
the learning process, the collected academic score…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning
Unsupervised machine learning is one of the accepted platforms for applying a broad data analytics challenge that involves the way to identify secret trends, unexplained associations, and other significant data from a wide dispersed dataset. The…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Hybrid clustering based on multi-criteria segmentation for higher education marketing
Market segmentation in higher education institutions is still rarely applied
although it can assist in defining the right strategies and actions for the
targeted market. The problem that often arises in market segmentation is how
to exploit the…
although it can assist in defining the right strategies and actions for the
targeted market. The problem that often arises in market segmentation is how
to exploit the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cluster-based information retrieval by using (K-means)- hierarchical parallel genetic algorithms approach
Cluster-based information retrieval is one of the information retrieval (IR)
tools that organize, extract features and categorize the web documents
according to their similarity. Unlike traditional approaches, cluster-based IR is
fast in…
tools that organize, extract features and categorize the web documents
according to their similarity. Unlike traditional approaches, cluster-based IR is
fast in…