Penggunaan Analisis Two Step Clustering untuk Data Campuran
نویسندگان
چکیده
منابع مشابه
Simulasi Penggunaan Frekuensi Milimeter Wave Untuk Akses Komunikasi Jaringn 5G Indoor
Milimeter Wave (mmWave) is a solution to overcome of frequency limitations in 5G technology implementations using high frequency carrier domain. This research discusses about mmWave frequency selection for 5G technology using empirical methods for indoor propagation model. Several mmWave frequencies are simulated on indoor office environment. Based on simulation with Indoor Hotspot (InH) placed...
متن کاملAnalisis laporan tugas akhir mahasiswa Diploma I dari sudut pandang kaidah ilmiah dan penggunaan teknologi informasi
s: The purposes of this research are: 1) to analyze final report from scientific role, 2) the use of information technology (IT), and 3) to conduct academic athmosphere in research area. This research gives contributions to study program of MI-DI, such as: 1) to know the pattern of student final report from scientific role and the use of IT, 2) give input to study program for next final report ...
متن کاملA Two-Step Clustering Approach to Extract Locations from Individual GPS Trajectory Data
High-accuracy location identification is the basis of location awareness and location services. However, because of the influence of GPS signal loss, data drift and repeated access in the individual trajectory data, the efficiency and accuracy of existing algorithms have some deficiencies. Therefore, we propose a two-step clustering approach to extract individuals’ locations according to their ...
متن کاملTwo-Step Disentanglement for Financial Data
In this work, we address the problem of disentanglement of factors that generate a given data into those that are correlated with the labeling and those that are not. Our solution is simpler than previous solutions and employs adversarial training in a straightforward manner. We demonstrate the new method on visual datasets as well as on financial data. In order to evaluate the latter, we devel...
متن کاملEntropy-based Consensus for Distributed Data Clustering
The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: d'CARTESIAN
سال: 2015
ISSN: 2685-1083,2302-4224
DOI: 10.35799/dc.4.1.2015.7251