Results 31 to 40 of about 315,009 (291)
Research on EV loads clustering analysis method for source-grid-load system
This report does some work on big data analysis of EV loads and extends automatic generation control (AGC) to automatic active power control (APC) by combining the current operating conditions of the grid and the spatial and temporal distribution ...
Yong Li +7 more
doaj +1 more source
Mining Unclassified Traffic Using Automatic Clustering Techniques [PDF]
In this paper we present a fully unsupervised algorithm to identify classes of traffic inside an aggregate. The algorithm leverages on the K-means clustering algorithm, augmented with a mechanism to automatically determine the number of traffic clusters.
Finamore, Alessandro +2 more
core +1 more source
Trajectory Clustering For Automatic Speech Recognition [PDF]
4 p.
Han, Y., Veth, J.M. de, Boves, L.W.J.
openaire +1 more source
Remote sensing image clustering is a challenging task considering its intrinsic complexity. Recently, by combining the spectral and spatial information of the remote sensing data, the clustering performance can be dramatically enhanced, termed as ...
Ailong Ma, Yanfei Zhong, Liangpei Zhang
doaj +1 more source
We implement a novel approach to automatic harmonic analysis using a clustering method on pitch-class vectors (chroma vectors). The advantage of this method is its lack of top-down assumptions, allowing us to objectively validate the basic music theory ...
Jason Yust, Jaeseong Lee, Eugene Pinsky
doaj +1 more source
Automatic Clustering in Hyrise
Physical data layout is an important performance factor for modern databases. Clustering, i.e., storing similar values in proximity, can lead to performance gains in several ways. We present an automated model to determine beneficial clustering columns and a clustering algorithm for the column-oriented, memory-resident database Hyrise. To automatically
openaire +2 more sources
An Automatic Clustering Technique for Optimal Clusters
12 pages, 5 figures, 2 ...
Pavan, K. Karteeka +2 more
openaire +2 more sources
Ellipsoidal K-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions
Traditional K-means clustering assumes, to some extent, a uniform distribution of data around predefined centroids, which limits its effectiveness for many realistic datasets.
Alaa E. Abdel-Hakim +4 more
doaj +1 more source
Representing the reservoir as a network of discrete compartments with neighbor and non-neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs.
Castineira, David +5 more
core +1 more source
Automatic coding of short text responses via clustering in educational assessment [PDF]
Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses.
Goldhammer, Frank +2 more
core +1 more source

