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Advances, Systems and Applications

Table 2 The FScores and the TS values for the different datasets using various hierarchical clustering methods

From: A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures

Dataset

FScore

TS-TS Actual

 

Average

Single

Complete

Ward

Diana

FBHC

Average

Single

Complete

Ward

Diana

FBHC

Classic4

0.505

0.453

0.595

0.859

0.670

0.588

0.410

NA

0.410

0.00

0.410

0.410

Reviews

0.417

0.414

0.451

0.501

0.542

0.514

0.000

NA

0.000

0.000

0.000

0.000

Tr23

0.428

0.429

0.433

0.436

0.435

0.447

0.001

NA

0.358

0.239

0.218

NA

LATimes

0.419

0.329

0.449

0.470

0.353

0.468

0.464

NA

0.464

0.464

0.464

0.016

Tr31

0.387

0.387

0.387

0.388

0.387

0.391

-

-

-

-

-

-

La2s

0.273

0.272

0.272

0.274

0.274

0.274

-

-

-

-

-

-

WebKb

0.417

0.413

0.424

0.522

0.456

0.483

0.068

NA

0.276

0.276

0.166

0.191

Tr12

0.284

0.283

0.286

0.290

0.290

0.305

-

-

-

-

-

-

Re8

0.669

0.497

0.643

0.665

0.685

0.708

0.198

NA

0.001

0.198

0.005

0.006

Tr11

0.310

0.308

0.315

0.318

0.311

0.329

-

-

-

-

-

-

Tr45

0.245

0.242

0.256

0.254

0.248

0.254

-

-

-

-

-

-

Tr41

0.294

0.294

0.293

0.294

0.295

0.302

-

-

-

-

-

-

Oh10

0.264

0.207

0.238

0.277

0.239

0.271

-

-

-

-

-

-

Dmoz-Science

0.327

0.154

0.289

0.394

0.322

0.397

0.131

NA

0.131

0.069

0.112

0.050

Dmoz-Health

0.353

0.143

0.341

0.402

0.393

0.408

0.201

NA

0.083

0.201

0.136

0.019

Re0

0.371

0.359

0.376

0.367

0.370

0.381

-

-

-

-

-

-

Dmoz-Computers

0.351

0.100

0.280

0.371

0.343

0.365

0.134

NA

0.178

0.178

0.102

0.025

Wap

0.188

0.181

0.186

0.188

0.190

0.193

-

-

-

-

-

-

20 Newsgroups

0.556

0.096

0.449

0.566

0.546

0.569

0.064

NA

0.102

0.064

0.061

0.080

Re1

0.210

0.198

0.210

0.212

0.211

0.221

-

-

-

-

-

-

ACM

0.422

0.050

0.408

0.440

0.414

0.425

0.003

NA

0.207

0.131

0.070

0.034

New3s

0.377

0.058

0.369

0.398

0.371

0.408

0.058

NA

0.229

0.251

0.091

0.019

Opinosis

0.339

0.058

0.328

0.347

0.340

0.353

0.020

NA

0.001

0.016

0.070

0.181

  1. The best results achieved by an algorithm for each one of the datasets are highlighted as boldface, whereas the second highest results are presented in italics