Results 11 to 20 of about 11,198,889 (292)
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 +3 more sources
Genetic K-means algorithm [PDF]
In this paper, we propose a novel hybrid genetic algorithm (GA) that finds a globally optimal partition of a given data into a specified number of clusters. GA's used earlier in clustering employ either an expensive crossover operator to generate valid child chromosomes from parent chromosomes or a costly fitness function or both.
Krishna, K, Murty, Narasimha M
openaire +4 more sources
MathildeChen/PCA-K-means-for-PA-features: K-means-for-PA-features v0.1
First release of the scripts used to identify profiles of movement behavior using k ...
MathildeCh3n
core +2 more sources
S k-means program was developed by a team led by Quang-Van DOAN at the Center for Computational Sciences (CCS), the University of Tsukuba. S k-means can be used by any person or entity for any purpose without any fee or charge.
Van Doan
core +1 more source
On $k$-means for segments and polylines
18 pages, 3 ...
Cabello, S., Giannopoulos, P.
openaire +5 more sources
High-Performance Lightweight Fall Detection with an Improved YOLOv5s Algorithm
The aging population has drastically increased in the past two decades, stimulating the development of devices for healthcare and medical purposes. As one of the leading potential risks, the injuries caused by accidental falls at home are hazardous to ...
Yuanpeng Wang +4 more
doaj +1 more source
This paper presents two novel deterministic initialization procedures for k-means clustering based on a modified crowding distance. The procedures, named ck-means and fck-means, use more crowded points as initial centroids.
Abdesslem Layeb
core +1 more source
The development of a GIS for New Deal Archaeology
I have recently launched an effort to create a GIS of all New Deal-funded archaeological investigations conducted in the 48 states that comprised the USA during the Great Depression (Means 2011).
Bernard K. Means
doaj +1 more source
Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means‖ type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces
Joonas Hämäläinen +2 more
doaj +1 more source

