Results 91 to 100 of about 17,769,086 (225)
Journal of Applied Informatics and ComputingBasic human needs include a house that serves as a place to live and a shelter from everything. In Indonesia, owning a house is still a challenging aspect due to its high price.
Vicka Rizqi Maulani +2 more
doaj +1 more source
K-means** - a fast and efficient K-means algorithms
International Journal of Intelligent Information and Database Systems, 2018 K-means often converges to a local optimum. In improved versions of K-means, k-means++ is well-known for achieving a rather optimum solution with its cluster initialisation strategy and high computational efficiency. Incremental K-means is recognised for its converging to the empirically global optimum but having a high complexity due to its stepping ...
Cuong Duc Nguyen, Trong Hai Duong
openaire +1 more source
Multichannel assignment using K-Means in cognitive radio networks
Tecnura, 2017 Context: The developed scheme allows carrying out the assignment of several frequency channels (both contiguous and not contiguous) available to the secondary users that require a higher bandwidth, under an environment of equality.
Hans Raul Marquez +2 more
doaj +1 more source
Federated learning is a technique that enables the use of distributed datasets for machine learning purposes without requiring data to be pooled, thereby better preserving privacy and ownership of the data. While supervised FL research has grown substantially over the last years, unsupervised FL methods remain scarce.
Swier Garst, Marcel Reinders
openaire +2 more sources
K+ Means : An Enhancement Over K-Means Clustering Algorithm
, 2017 Authors: Co-author's name added Section 3: Step (a) and (b) of K+Means algorithm are merged for simplicity. Section 3.1: K+ Means algorithm complexity rectified.
Kolay, Srikanta +2 more
openaire +2 more sources
Journal of Statistical Software, 2012 Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik +3 more
doaj
Ilkom Jurnal Ilmiah, 2019 University as an educational institution plays an important role in producing graduates. In addition, institutions such as universitas ichsan Gorontalo save the data set.
Suhardi Rustam, Haditsah Annur
doaj +1 more source
, 2020 This paper presents a novel accelerated exact k-means algorithm called the Ball k-means algorithm, which uses a ball to describe a cluster, focusing on reducing the point-centroid distance computation. The Ball k-means can accurately find the neighbor clusters for each cluster resulting distance computations only between a point and its neighbor ...
Xia, Shuyin +6 more
openaire +2 more sources
Implementasi KD-Tree K-Means Clustering untuk Klasterisasi Dokumen
Jurnal Teknik ITS, 2013 Klasterisasi dokumen adalah suatu proses pengelompokan dokumen secara otomatis dan unsupervised. Klasterisasi dokumen merupakan permasalahan yang sering ditemui dalam berbagai bidang seperti text mining dan sistem temu kembali informasi.
Eric Budiman Gosno +2 more
doaj
, 2015 The developed algorithm is similar with "Christopher F. Barnes, A new multiple path search technique for residual vector quantizers, 1994", but we conduct the research independently and apply it in data/feature compression and image ...
Wang, Jianfeng +5 more
openaire +2 more sources