Orange: Distance Matrix - Revision history

Onnowpurbo: /* Contoh */

2020-04-07T09:30:04Z

Contoh

← Older revision		Revision as of 09:30, 7 April 2020
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	Contoh workflow di bawah ini menampilkan penggunaan widget Distance Matrix yang sangat standar. Kita menghitung jarak antara baris dalam sampel dari dataset Iris dan mengeluarkannya dalam Distance Matrix. Tidaklah mengejutkan bahwa Iris Virginica dan Iris Setosa adalah yang terjauh.		Contoh workflow di bawah ini menampilkan penggunaan widget Distance Matrix yang sangat standar. Kita menghitung jarak antara baris dalam sampel dari dataset Iris dan mengeluarkannya dalam Distance Matrix. Tidaklah mengejutkan bahwa Iris Virginica dan Iris Setosa adalah yang terjauh.

	[[File:DistanceMatrix-Example.png\|center\|~~200px~~\|thumb]]		[[File:DistanceMatrix-Example.png\|center\|600px\|thumb]]

	==Referensi==		==Referensi==

Onnowpurbo at 20:54, 18 March 2020

2020-03-18T20:54:38Z

← Older revision		Revision as of 20:54, 18 March 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html

	~~Mem~~-~~visualisaikan~~ hasil pengukuran distance dalam sebuah distance matrix.		Widget Distance Matrix dapat mem-visualisasikan hasil pengukuran distance dalam sebuah distance matrix.

	==Input==		==Input==

Onnowpurbo at 10:33, 18 March 2020

2020-03-18T10:33:57Z

← Older revision		Revision as of 10:33, 18 March 2020
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	Table: distance measures in a distance matrix		Table: distance measures in a distance matrix

	Widget Distance Matrix membuat distance matrix, yang merupakan array dua dimensi yang berisi distance, diambil berpasangan, di antara elemen-elemen dari ~~set~~. Jumlah elemen dalam dataset menentukan ukuran matrix.. Matrix data sangat penting untuk ~~hierarchical clustering~~ dan mereka sangat berguna dalam bioinformatika ~~juga~~, di mana mereka digunakan untuk merepresentasikan struktur protein ~~dalam~~ cara yang bebas koordinat.		Widget Distance Matrix membuat distance matrix, yang merupakan array dua dimensi yang berisi distance, diambil berpasangan, di antara elemen-elemen dari dataset. Jumlah elemen dalam dataset menentukan ukuran matrix. Matrix data sangat penting untuk Widget Hierarchical Clustering dan mereka sangat berguna dalam bioinformatika, di mana mereka digunakan untuk merepresentasikan struktur protein dengan cara yang bebas koordinat.

	[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]		[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]
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	* Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).		* Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).

	Hanya dua input yang cocok untuk Distance Matrix yaitu widget Distances dan Distance Transformation ~~widget~~. Output dari widget adalah tabel data yang berisi distance matrix. Pengguna dapat memutuskan bagaimana memberi label pada tabel dan distance matrix (atau contoh dalam distance matrix) kemudian dapat divisualisasikan atau ditampilkan dalam tabel data terpisah.		Hanya dua input yang cocok untuk Widget Distance Matrix yaitu widget Distances dan widget Distance Transformation. Output dari widget Distance Matrix adalah tabel data yang berisi distance matrix. Pengguna dapat memutuskan bagaimana memberi label pada tabel dan distance matrix (atau contoh dalam distance matrix) kemudian dapat divisualisasikan atau ditampilkan dalam tabel data terpisah.

	==Contoh==		==Contoh==

	Contoh di bawah ini menampilkan penggunaan widget Distance Matrix yang sangat standar. Kita menghitung jarak antara baris dalam sampel dari dataset Iris dan mengeluarkannya dalam Distance Matrix. Tidaklah mengejutkan bahwa Iris Virginica dan Iris Setosa adalah yang terjauh.		Contoh workflow di bawah ini menampilkan penggunaan widget Distance Matrix yang sangat standar. Kita menghitung jarak antara baris dalam sampel dari dataset Iris dan mengeluarkannya dalam Distance Matrix. Tidaklah mengejutkan bahwa Iris Virginica dan Iris Setosa adalah yang terjauh.

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

Onnowpurbo: /* Contoh */

2020-02-22T04:53:07Z

Contoh

← Older revision		Revision as of 04:53, 22 February 2020
Line 25:		Line 25:
	==Contoh==		==Contoh==

	~~The example below displays a very standard use of the~~ Distance Matrix ~~widget~~. ~~We compute the distances between rows in the sample from the~~ Iris ~~dataset and output them in the~~ Distance Matrix. ~~It comes as no surprise that~~ Iris Virginica ~~and~~ Iris Setosa ~~are the furthest apart~~.		Contoh di bawah ini menampilkan penggunaan widget Distance Matrix yang sangat standar. Kita menghitung jarak antara baris dalam sampel dari dataset Iris dan mengeluarkannya dalam Distance Matrix. Tidaklah mengejutkan bahwa Iris Virginica dan Iris Setosa adalah yang terjauh.

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


	==Referensi==		==Referensi==

Onnowpurbo at 04:52, 22 February 2020

2020-02-22T04:52:08Z

← Older revision		Revision as of 04:52, 22 February 2020
Line 1:		Line 1:
	Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html

	~~Visualizes~~ distance ~~measures in a~~ distance matrix.		Mem-visualisaikan hasil pengukuran distance dalam sebuah distance matrix.

	==Input==		==Input==
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	Table: distance measures in a distance matrix		Table: distance measures in a distance matrix

	~~The~~ Distance Matrix ~~widget creates a~~ distance matrix, ~~which is a two-dimensional~~ array ~~containing the distances~~, ~~taken pairwise~~, ~~between the elements of a~~ set. ~~The number of elements in the~~ dataset ~~defines the size of the~~ matrix. ~~Data matrices are essential for~~ hierarchical clustering ~~and they are extremely useful in bioinformatics as well~~, ~~where they are used to represent~~ protein ~~structures in a coordinate-independent manner~~.		Widget Distance Matrix membuat distance matrix, yang merupakan array dua dimensi yang berisi distance, diambil berpasangan, di antara elemen-elemen dari set. Jumlah elemen dalam dataset menentukan ukuran matrix.. Matrix data sangat penting untuk hierarchical clustering dan mereka sangat berguna dalam bioinformatika juga, di mana mereka digunakan untuk merepresentasikan struktur protein dalam cara yang bebas koordinat.

	[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]		[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]
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	* Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).		* Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).

	~~The only two suitable inputs for~~ Distance Matrix ~~are the~~ Distances ~~widget and the~~ Distance Transformation widget. ~~The output of the~~ widget ~~is a~~ data ~~table containing the~~ distance matrix. ~~The user can decide how to~~ label ~~the table and the~~ distance matrix (~~or instances in the~~ distance matrix) ~~can then be visualized or displayed in a separate~~ data ~~table~~.		Hanya dua input yang cocok untuk Distance Matrix yaitu widget Distances dan Distance Transformation widget. Output dari widget adalah tabel data yang berisi distance matrix. Pengguna dapat memutuskan bagaimana memberi label pada tabel dan distance matrix (atau contoh dalam distance matrix) kemudian dapat divisualisasikan atau ditampilkan dalam tabel data terpisah.

	==Contoh==		==Contoh==

Onnowpurbo at 01:13, 29 January 2020

2020-01-29T01:13:44Z

← Older revision		Revision as of 01:13, 29 January 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html



	Visualizes distance measures in a distance matrix.		Visualizes distance measures in a distance matrix.

	~~Inputs~~		==Input==

	Distances: distance matrix		Distances: distance matrix

	~~Outputs~~		==Output==

	Distances: distance matrix		Distances: distance matrix
	Table: distance measures in a distance matrix		Table: distance measures in a distance matrix

	The Distance Matrix widget creates a distance matrix, which is a two-dimensional array containing the distances, taken pairwise, between the elements of a set. The number of elements in the dataset defines the size of the matrix. Data matrices are essential for hierarchical clustering and they are extremely useful in bioinformatics as well, where they are used to represent protein structures in a coordinate-independent manner.		The Distance Matrix widget creates a distance matrix, which is a two-dimensional array containing the distances, taken pairwise, between the elements of a set. The number of elements in the dataset defines the size of the matrix. Data matrices are essential for hierarchical clustering and they are extremely useful in bioinformatics as well, where they are used to represent protein structures in a coordinate-independent manner.
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	[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]		[[File:DistanceMatrix-stamped.png\|center\|200px\|thumb]]

	Elements in the dataset and the distances between them.		* Elements in the dataset and the distances between them.
	Label the table. The options are: none, enumeration, according to variables.		* Label the table. The options are: none, enumeration, according to variables.
	Produce a report.		* Produce a report.
	Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).		* Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).

	The only two suitable inputs for Distance Matrix are the Distances widget and the Distance Transformation widget. The output of the widget is a data table containing the distance matrix. The user can decide how to label the table and the distance matrix (or instances in the distance matrix) can then be visualized or displayed in a separate data table.		The only two suitable inputs for Distance Matrix are the Distances widget and the Distance Transformation widget. The output of the widget is a data table containing the distance matrix. The user can decide how to label the table and the distance matrix (or instances in the distance matrix) can then be visualized or displayed in a separate data table.

Onnowpurbo at 00:51, 24 January 2020

2020-01-24T00:51:57Z

← Older revision		Revision as of 00:51, 24 January 2020
Line 12:		Line 12:

	Distances: distance matrix		Distances: distance matrix

	Table: distance measures in a distance matrix		Table: distance measures in a distance matrix

	The Distance Matrix widget creates a distance matrix, which is a two-dimensional array containing the distances, taken pairwise, between the elements of a set. The number of elements in the dataset defines the size of the matrix. Data matrices are essential for hierarchical clustering and they are extremely useful in bioinformatics as well, where they are used to represent protein structures in a coordinate-independent manner.		The Distance Matrix widget creates a distance matrix, which is a two-dimensional array containing the distances, taken pairwise, between the elements of a set. The number of elements in the dataset defines the size of the matrix. Data matrices are essential for hierarchical clustering and they are extremely useful in bioinformatics as well, where they are used to represent protein structures in a coordinate-independent manner.

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

	Elements in the dataset and the distances between them.		Elements in the dataset and the distances between them.

	Label the table. The options are: none, enumeration, according to variables.		Label the table. The options are: none, enumeration, according to variables.

	Produce a report.		Produce a report.

	Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).		Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).

	The only two suitable inputs for Distance Matrix are the Distances widget and the Distance Transformation widget. The output of the widget is a data table containing the distance matrix. The user can decide how to label the table and the distance matrix (or instances in the distance matrix) can then be visualized or displayed in a separate data table.		The only two suitable inputs for Distance Matrix are the Distances widget and the Distance Transformation widget. The output of the widget is a data table containing the distance matrix. The user can decide how to label the table and the distance matrix (or instances in the distance matrix) can then be visualized or displayed in a separate data table.
	~~Example~~
			==Contoh==

	The example below displays a very standard use of the Distance Matrix widget. We compute the distances between rows in the sample from the Iris dataset and output them in the Distance Matrix. It comes as no surprise that Iris Virginica and Iris Setosa are the furthest apart.		The example below displays a very standard use of the Distance Matrix widget. We compute the distances between rows in the sample from the Iris dataset and output them in the Distance Matrix. It comes as no surprise that Iris Virginica and Iris Setosa are the furthest apart.

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

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html Visualizes distance measures in a distance matrix. Inputs Distances: dis..."

2020-01-16T23:57:34Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancematrix.html Visualizes distance measures in a distance matrix. Inputs Distances: dis..."

New page

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

Visualizes distance measures in a distance matrix.

Inputs

Distances: distance matrix

Outputs

Distances: distance matrix

Table: distance measures in a distance matrix

The Distance Matrix widget creates a distance matrix, which is a two-dimensional array containing the distances, taken pairwise, between the elements of a set. The number of elements in the dataset defines the size of the matrix. Data matrices are essential for hierarchical clustering and they are extremely useful in bioinformatics as well, where they are used to represent protein structures in a coordinate-independent manner.

../../_images/DistanceMatrix-stamped.png

Elements in the dataset and the distances between them.

Label the table. The options are: none, enumeration, according to variables.

Produce a report.

Click Send to communicate changes to other widgets. Alternatively, tick the box in front of the Send button and changes will be communicated automatically (Send Automatically).

The only two suitable inputs for Distance Matrix are the Distances widget and the Distance Transformation widget. The output of the widget is a data table containing the distance matrix. The user can decide how to label the table and the distance matrix (or instances in the distance matrix) can then be visualized or displayed in a separate data table.
Example

The example below displays a very standard use of the Distance Matrix widget. We compute the distances between rows in the sample from the Iris dataset and output them in the Distance Matrix. It comes as no surprise that Iris Virginica and Iris Setosa are the furthest apart.

../../_images/DistanceMatrix-Example.png

==Referensi==

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

==Pranala Menarik==

* [[Orange]]