User shn - Cross Validated

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visits	member for	1 year, 5 months
	seen	May 17 at 13:33
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	247 reputation	bio	website		visits	member for	1 year, 5 months
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7

14

votes

5

answers

1

kviews

Euclidean distance is usually not good for sparse data?

jun 13 '12 at 15:40 Anony-Mousse 4,278

3

7

votes

3

answers

468

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Mixture Models and Dirichlet Process Mixtures (beginner lectures or papers)

clustering inference mixture dirichlet-distribution dirichlet-process

nov 29 at 19:17 jerad 631

7

votes

1

answer

122

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Classification error is lower when I don't do any learning on the dataset?

machine-learning classification

nov 4 at 21:52 chl♦ 27.2k

5

votes

3

answers

247

views

Books about incremental data clustering

machine-learning clustering books data-mining

mar 2 '12 at 23:24 om-nom-nom 101

1

4

votes

3

answers

850

views

Supervised clustering or classification?

clustering classification unsupervised-learning statistical-learning

oct 12 at 6:12 Diego 135

2

4

votes

3

answers

324

views

Practical difference between “sampling” and “re-sampling with replacement”

distributions probability sampling resampling weighted-sampling

jun 12 '12 at 17:12 Vic 76

4

votes

1

answer

329

views

Evaluation measure of clustering (without having truth labels)

clustering measurement unsupervised-learning

jan 27 '12 at 14:54 Anony-Mousse 4,278

3

votes

2

answers

146

views

How to define a posterior probability of y given x when the model is not probabilistic?

probability classification clustering k-means posterior

may 10 at 0:03 Community♦ 1

3

votes

5

answers

361

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Looking for 2D artificial data to demonstrate properties of clustering algorithms

distributions data-visualization clustering dataset

dec 22 at 18:09 Praneeth Vepakomma 1,131

2

votes

1

answer

52

views

How can we get the confidence (or probability) that a data-point belongs to an unknown class?

probability classification unsupervised-learning

mar 18 at 12:53 ttnphns 8,990

2

votes

2

answers

90

views

Supervised learning algorithms for classification, that we should read first

machine-learning classification

jan 19 at 21:19 juampa 859

1

2

votes

2

answers

99

views

Incremental hierarchical clustering

clustering multilevel-analysis k-means online

dec 13 at 4:39 taltman 21

2

votes

1

answer

78

views

Aggregating votes from different users with some constraints and probabilities

probability optimization

dec 6 at 23:31 shn 247

2

votes

2

answers

114

views

Choosing which data-point to label (active learning)

machine-learning classification clustering unsupervised-learning online

nov 3 at 11:43 Dikran Marsupial 12k

2

votes

0

answers

293

views

Distance threshold for clustering

clustering k-means online distance threshold

jun 28 at 15:57 mbq♦ 12k

2

votes

1

answer

216

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Sequential clustering with an unknown number of clusters

clustering nonparametric online sequential-analysis

apr 19 '12 at 6:34 Emre 1,222

1

vote

2

answers

59

views

Line of best fit (Linear regression) over vertical line

regression linear-model fitting

apr 30 at 12:55 IMA 416

1

vote

0

answers

19

views

Tolerating labeling errors in classification

machine-learning classification multi-class

apr 16 at 8:34 shn 247

1

vote

1

answer

60

views

SVM confidence according to distance from hyperline

classification svm unsupervised-learning confidence

apr 4 at 19:10 Matt Krause 2,820

1

vote

3

answers

99

views

Can unsupervised evaluation measures for clustering replace a supervised evaluation measure?

clustering measurement unsupervised-learning performance

sep 18 at 19:53 Anony-Mousse 4,278

1

vote

1

answer

171

views

clustering with particle filters

clustering nonparametric online sequential-analysis particle-filter

jun 15 '12 at 9:25 shn 247

1

vote

1

answer

123

views

Statistics or probabilities associated to each cluster in order to predict if a future datapoint is member of its nearest center

probability clustering modeling mathematical-statistics k-means

jun 2 '12 at 9:35 TenaliRaman 850

1

vote

1

answer

464

views

Entropy based on euclidian distances between datapoints / clusters centers?

clustering distance-functions entropy maximum-entropy

feb 20 '12 at 16:46 Vass 295

1

vote

0

answers

41

views

Incremental or Online or Single pass or Data Stream Clustering refers to the same thing? [duplicate]

online

feb 12 '12 at 18:54 shn 247

1

vote

1

answer

59

views

Need help in automatically computing optimal hyper-parameters for a clustering algorithm

machine-learning k-means

feb 3 '12 at 23:07 shn 247

0

votes

0

answers

16

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Getting the degree of overlap between each pair of classes

sampling dataset

may 13 at 15:25 shn 247

0

votes

1

answer

73

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Document image analysis and retrieval with online incremental clustering

clustering image-processing online

may 9 at 23:03 Community♦ 1

0

votes

1

answer

138

views

Factor of t of the RMS deviation

clustering standard-deviation mathematical-statistics error

apr 25 at 8:58 Community♦ 1

0

votes

1

answer

41

views

Transforming the distance value from a center, to a probability value

probability clustering estimation

apr 24 at 8:58 Anony-Mousse 4,278

0

votes

0

answers

12

views

Which features to extract for classifying segmented zones of an image into two classes “handwritten text” and “graphics”

classification feature-selection image-processing feature-construction

apr 19 at 14:33 shn 247

shn

46 Questions