Orange: Distance Transformation - Revision history

Onnowpurbo at 21:44, 18 March 2020

2020-03-18T21:44:13Z

← Older revision		Revision as of 21:44, 18 March 2020
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	Distances: transformed distance matrix		Distances: transformed distance matrix

	Widget ~~Distances~~ Transformation digunakan untuk normalisasi dan inversi dari distance ~~matrices~~. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.		Widget Distance Transformation digunakan untuk normalisasi dan inversi dari distance matrix. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.

	[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]		[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]

Onnowpurbo: /* Contoh */

2020-03-18T10:35:14Z

Contoh

← Older revision		Revision as of 10:35, 18 March 2020
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	==Contoh==		==Contoh==

	Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi ~~memengaruhi~~ distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana Distance Transformation ~~memengaruhi~~ Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".		Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi mempengaruhi distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana Distance Transformation mempengaruhi Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".

	[[File:DistanceTransformation-Example.png\|center\|200px\|thumb]]		[[File:DistanceTransformation-Example.png\|center\|200px\|thumb]]

Onnowpurbo: /* Contoh */

2020-02-23T02:51:45Z

Contoh

← Older revision		Revision as of 02:51, 23 February 2020
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	==Contoh==		==Contoh==

	~~In the~~ snapshot ~~below~~, ~~you can see how transformation affects the~~ distance matrix. ~~We loaded the~~ Iris ~~dataset and calculated the distances between rows with the help of the~~ Distances ~~widget~~. ~~In order to demonstrate how~~ Distance Transformation ~~affects the~~ Distance Matrix, ~~we created the~~ workflow ~~below and compared the~~ transformed distance matrix ~~with the “original” one~~.		Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi memengaruhi distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana Distance Transformation memengaruhi Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".

	[[File:DistanceTransformation-Example.png\|center\|200px\|thumb]]		[[File:DistanceTransformation-Example.png\|center\|200px\|thumb]]


	==Referensi==		==Referensi==

Onnowpurbo at 00:51, 23 February 2020

2020-02-23T00:51:46Z

← Older revision		Revision as of 00:51, 23 February 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html

	~~Transforms~~ distances ~~in a~~ dataset.		Transformasikan distances yang ada di dataset.

	==Input==		==Input==
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	Distances: transformed distance matrix		Distances: transformed distance matrix

	~~The~~ Distances Transformation ~~widget is used for the normalization and inversion of~~ distance matrices. ~~The normalization of~~ data ~~is necessary to bring all the variables into proportion with one another~~.		Widget Distances Transformation digunakan untuk normalisasi dan inversi dari distance matrices. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.

	[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]		[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]

Onnowpurbo at 01:15, 29 January 2020

2020-01-29T01:15:04Z

← Older revision		Revision as of 01:15, 29 January 2020
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	Transforms distances in a dataset.		Transforms distances in a dataset.

	~~Inputs~~		==Input==

	Distances: distance matrix		Distances: distance matrix

	~~Outputs~~		==Output==

	Distances: transformed distance matrix		Distances: transformed distance matrix

	The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.		The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.
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	[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]		[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]

	Choose the type of Normalization:		* Choose the type of Normalization:
	No normalization		** No normalization
	To interval [0, 1]		** To interval [0, 1]
	To interval [-1, 1]		** To interval [-1, 1]
	Sigmoid function: 1/(1+exp(-X))		** Sigmoid function: 1/(1+exp(-X))
	Choose the type of Inversion:		* Choose the type of Inversion:
	No inversion		** No inversion
	-X		** -X
	1 - X		** 1 - X
	max(X) - X		** max(X) - X
	1/X		** 1/X
	Produce a report.		* Produce a report.
	After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.		* After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.

	==Contoh==		==Contoh==

Onnowpurbo at 00:59, 24 January 2020

2020-01-24T00:59:26Z

← Older revision		Revision as of 00:59, 24 January 2020
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	The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.		The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.

	~~../../_images/~~DistanceTransformation-stamped.png		[[File:DistanceTransformation-stamped.png\|center\|200px\|thumb]]

	Choose the type of Normalization:		Choose the type of Normalization:

	No normalization		No normalization

	To interval [0, 1]		To interval [0, 1]

	To interval [-1, 1]		To interval [-1, 1]

	Sigmoid function: 1/(1+exp(-X))		Sigmoid function: 1/(1+exp(-X))

	Choose the type of Inversion:		Choose the type of Inversion:

	No inversion		No inversion

	-X		-X

	1 - X		1 - X

	max(X) - X		max(X) - X

	1/X		1/X

	Produce a report.		Produce a report.

	After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.		After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.

	~~Example~~		==Contoh==

	In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.		In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.

	~~../../_images/~~DistanceTransformation-Example.png		[[File:DistanceTransformation-Example.png\|center\|200px\|thumb]]

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html Transforms distances in a dataset. Inputs Distances: distance matr..."

2020-01-16T23:59:22Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html Transforms distances in a dataset. Inputs Distances: distance matr..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html

Transforms distances in a dataset.

Inputs

Distances: distance matrix

Outputs

Distances: transformed distance matrix

The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.

../../_images/DistanceTransformation-stamped.png

Choose the type of Normalization:

No normalization

To interval [0, 1]

To interval [-1, 1]

Sigmoid function: 1/(1+exp(-X))

Choose the type of Inversion:

No inversion

-X

1 - X

max(X) - X

1/X

Produce a report.

After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.

Example

In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.

../../_images/DistanceTransformation-Example.png

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html

==Pranala Menarik==

* [[Orange]]