Subject
- Agronomy 2
- Biomedical Engineering 1
- Computer Science 1
- Geographic Information Systems (GIS) 1
- Interdisciplinary Research 1
- Life Sciences 1
Creator
- Darrell Schulze, 0000-0001-9278-2457 2
- Joshua Minai 2
- Baichuan Zhang 1
- Bartlomiej P. Rajwa 1
- Murat Dundar 1
- Qiang Kou 1
- Yicheng He 1
Type
- Dataset 3
Date
subject: K-Means Clustering type: dataset
Total is 3 Results
Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
Busia Soil Class Map
10.4231/6D95-RH34
Darrell Schulze
,
Joshua Minai
11/18/2019
This is a disaggregated soil map of the Busia area.
Agronomy Busia Area Digital Soil Mapping Disaggregate K-Means Clustering Kenya Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Topographic Position Index
Busia K-Means Cluster Map
10.4231/4Q9T-FT90
Darrell Schulze
,
Joshua Minai
11/18/2019
Map that mimics the geometry of 'fully developed slopes'.
Agronomy Geographic Information Systems (GIS) K-Means Clustering Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Slope Position Terrain Attributes Topographic Position Index
Display #
Results 1 - 3 of 3