X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (9798) 9798
Conference Proceeding (6075) 6075
Book Chapter (302) 302
Dissertation (203) 203
Magazine Article (64) 64
Publication (16) 16
Book / eBook (5) 5
Government Document (4) 4
Web Resource (3) 3
Paper (2) 2
Report (2) 2
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
k-means (6451) 6451
k-means clustering (3648) 3648
clustering (3529) 3529
clustering algorithms (2672) 2672
algorithms (2232) 2232
data mining (1578) 1578
k-means algorithm (1349) 1349
cluster analysis (1236) 1236
computer science, artificial intelligence (995) 995
classification (994) 994
analysis (993) 993
engineering, electrical & electronic (967) 967
image segmentation (944) 944
feature extraction (815) 815
algorithm design and analysis (798) 798
computer science (742) 742
optimization (670) 670
vector quantization (631) 631
machine learning (620) 620
computer science, information systems (555) 555
partitioning algorithms (529) 529
segmentation (512) 512
classification algorithms (507) 507
clusters (483) 483
algorithm (476) 476
neural networks (436) 436
artificial intelligence (430) 430
k-means算法 (424) 424
methods (419) 419
principal component analysis (395) 395
support vector machines (390) 390
image processing (383) 383
training (380) 380
pattern recognition (357) 357
accuracy (349) 349
computer science, interdisciplinary applications (342) 342
image color analysis (342) 342
mathematical models (342) 342
k-means clustering algorithm (322) 322
cluster-bildung (317) 317
humans (315) 315
genetic algorithm (312) 312
support vector machine (299) 299
clustering methods (298) 298
conferences (286) 286
computer science, theory & methods (285) 285
telecommunications (285) 285
usage (282) 282
genetic algorithms (275) 275
particle swarm optimization (275) 275
indexes (273) 273
fuzzy c-means (271) 271
big data (267) 267
studies (266) 266
computer simulation (265) 265
k-means聚类 (265) 265
mathematical analysis (256) 256
statistics & probability (253) 253
engineering (248) 248
statistics (245) 245
hierarchical clustering (226) 226
mathematical model (222) 222
operations research & management science (220) 220
data models (216) 216
k-mean clustering (212) 212
remote sensing (210) 210
research (209) 209
聚类 (209) 209
entropy (202) 202
k-mean (197) 197
convergence (195) 195
unsupervised learning (195) 195
data analysis (191) 191
svm (190) 190
vectors (188) 188
euclidean distance (187) 187
数据挖掘 (183) 183
kernel (182) 182
computer science, software engineering (177) 177
environmental sciences (176) 176
computational modeling (174) 174
machine learning algorithms (174) 174
artificial neural networks (173) 173
data clustering (173) 173
histograms (173) 173
educational institutions (170) 170
magnetic resonance imaging (170) 170
robustness (170) 170
cloud computing (162) 162
color (160) 160
mapreduce (159) 159
cluster-analyse (156) 156
heuristic algorithms (155) 155
networks (155) 155
prediction (155) 155
more...
Library Location Library Location
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (14228) 14228
Chinese (1838) 1838
Japanese (149) 149
Korean (129) 129
Indonesian (73) 73
Portuguese (47) 47
Turkish (32) 32
Spanish (31) 31
Czech (29) 29
French (24) 24
German (12) 12
Persian (10) 10
Polish (8) 8
Arabic (6) 6
Croatian (6) 6
Slovak (4) 4
Italian (3) 3
Swedish (3) 3
Lithuanian (2) 2
Slovenian (2) 2
Catalan (1) 1
Romanian (1) 1
Russian (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


SpringerPlus, ISSN 2193-1801, 12/2016, Volume 5, Issue 1, pp. 1 - 15
The global k-means algorithm is an incremental approach to clustering that dynamically adds one cluster center at a time through a deterministic global search... 
Clustering | k -Means | Science, Humanities and Social Sciences, multidisciplinary | MinMax k -means | Global k -means | k-Means | MinMax k-means | Global k-means | MULTIDISCIPLINARY SCIENCES
Journal Article
The Annals of statistics, ISSN 0090-5364, 2015, Volume 43, Issue 1, pp. 57 - 89
Consider a network where the nodes split into K different communities. The community labels for the nodes are unknown and it is of major interest to estimate... 
Degree Corrected Block Model (DCBM) | Hamming distance | Moderate deviation | Sparsity | Community detection | Social network | K -means method | Modularity | Spectral analysis | PCA | INFORMATION | moderate deviation | spectral analysis | STATISTICS & PROBABILITY | sparsity | NETWORKS | social network | modularity | k-means method | LIKELIHOOD | 62P25 | 91C20 | 62H30
Journal Article
Computational intelligence, ISSN 0824-7935, 2019, Volume 35, Issue 1, pp. 23 - 41
Maximum‐margin clustering is an extension of the support vector machine (SVM) to clustering. It partitions a set of unlabeled data into multiple groups by... 
k‐means++ algorithm | maximum margin clustering | simulated annealing | k-means++ algorithm | OPTIMIZATION | K-MEANS ALGORITHM | k-means plus plus algorithm | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Support vector machines | Data points | Annealing | Algorithms | Computer simulation | Simulated annealing | Hyperplanes | Clustering
Journal Article
Applied Soft Computing, ISSN 1568-4946, 11/2016, Volume 48, pp. 207 - 216
[Display omitted] •This paper proposes a new hybrid soft computing framework to increase the solar radiation forecasting accuracy.•An improved version of... 
Soft computing | Clustering | Solar radiation | Data preprocessing | Forecasting | T.S.C K-means | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | TSC K-means | K-MEANS | VALIDATION | OPTIMIZATION | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Radiation
Journal Article
International Journal on Artificial Intelligence Tools, ISSN 0218-2130, 06/2018, Volume 27, Issue 4
Data clustering is an unsupervised learning task that has found many applications in various scientific fields. The goal is to find subgroups of closely... 
approximate kernel k -means | data clustering | distributed computation | Big data | Apache Spark | kernel k -means | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | HISTOGRAMS | COMPUTATION | kernel k-means | approximate kernel k-means | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Sensors (Basel, Switzerland), ISSN 1424-8220, 2019, Volume 19, Issue 5, p. 1067
Journal Article
Information Sciences, ISSN 0020-0255, 02/2015, Volume 295, pp. 1 - 17
•We present a fast minimum spanning tree algorithm (MST) on the complete graph of N points.•Divide-and-conquer scheme is applied to produce an approximate MST... 
K-means | Manifold learning | Clustering | Minimum spanning tree | Manifold learning K-means | DESIGN | HIGH-DIMENSIONAL DATA | IMPLEMENTATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | GRAPHS | FOREST | SPACE | COMPLEXITY | SEGMENTATION | CLUSTER VALIDITY | Algorithms | Approximation | Clusters | Graphs | Graph theory | Boundaries | Computational efficiency | Complexity
Journal Article
Procedia computer science, ISSN 1877-0509, 2015, Volume 54, pp. 764 - 771
Image segmentation is the classification of an image into different groups. Many researches have been done in the area of image segmentation using clustering.... 
Image segmentation | K -means clustering | Partial contrast stretching | Subtractive clustering | Median filter
Journal Article
Machine Learning, ISSN 0885-6125, 1/2009, Volume 74, Issue 1, pp. 1 - 22
Journal Article
IEEE Transactions on Power Delivery, ISSN 0885-8977, 04/2017, Volume 32, Issue 2, pp. 609 - 616
Journal Article
Information sciences, ISSN 0020-0255, 2013, Volume 220, pp. 269 - 291
Clustering has become an increasingly important and highly complicated research area for targeting useful and relevant information in modern application... 
K-means | Document clustering | Harmony search | Hybridization | Stochastic optimization | COMPUTER SCIENCE, INFORMATION SYSTEMS | OPTIMIZATION | K-MEANS ALGORITHM | HARMONY SEARCH ALGORITHM | Computer science | Markov processes | Algorithms | Universities and colleges | Analysis
Journal Article
Knowledge-based systems, ISSN 0950-7051, 2017, Volume 117, pp. 56 - 69
•An approximation to the Kmeans algorithm for massive data problems is proposed.•RPKM reduces several orders of computations while obtaining good... 
K-means | Clustering | Minibatch K-means | K-means plus | Minibatch | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ALGORITHM | Computer science | Artificial intelligence | Algorithms
Journal Article
Energy Conversion and Management, ISSN 0196-8904, 06/2013, Volume 70, pp. 139 - 148
•Five solar radiation (Rs) zones were identified by long-term mean daily Rs.•Temperature- and sunshine-based models for Rs estimation were given for each... 
Temperature-based | Sunshine-based | k-Means | General model | Solar radiation zone | Sunshine-based k-Means | MECHANICS | METEOROLOGICAL DATA | THERMODYNAMICS | ENERGY & FUELS | DIFFERENT CLIMATES | SIMULATION | SUNSHINE | Nuclear radiation | Analysis | Models
Journal Article
Energy conversion and management, ISSN 0196-8904, 2016, Volume 118, pp. 331 - 344
•A novel clustering approach is proposed based on the data transformation approach.•A novel cluster selection method based on correlation analysis is... 
TB K-means | Clustering | Solar radiation | Data preprocessing | Forecasting | MECHANICS | THERMODYNAMICS | SUPPORT VECTOR REGRESSION | ENERGY & FUELS | K-MEANS | MODEL | PREDICTION | Forecasts and trends | Neural networks | Analysis | Methods | Radiation | Algorithms | Multilayer perceptrons | Mathematical models | Transformations
Journal Article