Clustering - Revision history

Designing Buildings at 07:43, 26 February 2021

2021-02-26T07:43:34Z

← Older revision		Revision as of 07:43, 26 February 2021
Line 1:		Line 1:
−	[[File:ClusterExample.png]]	+	[[File:ClusterExample.png\|link=File:ClusterExample.png]]

	= Introduction =		= Introduction =
Line 30:		Line 30:
	* Procurement route.		* Procurement route.

−	[[Category:Theory]] [[Category:Construction_management]] [[Category:Construction_techniques]] [[Category:Procurement]]	+	[[Category:DCN_Definition]] [[Category:DCN_Guidance]] [[Category:Theory]] [[Category:Construction_management]] [[Category:Construction_techniques]] [[Category:Procurement]]

Editor at 16:33, 11 August 2020

2020-08-11T16:33:58Z

← Older revision		Revision as of 16:33, 11 August 2020
Line 1:		Line 1:
		+	[[File:ClusterExample.png]]
		+
	= Introduction =		= Introduction =

Designing Buildings at 08:08, 11 August 2020

2020-08-11T08:08:55Z

← Older revision		Revision as of 08:08, 11 August 2020
Line 1:		Line 1:
	= Introduction =		= Introduction =

−	Clustering is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical technique used in many fields, including marketing, social science, computer science ~~and other sciences~~) as a classification method ~~for prequalifying contractors. In general terms, it is~~ often used for data mining purposes.	+	Clustering is a method of pre-qualification for the procurement of construction projects. It applies the concepts of cluster analysis (which is a statistical technique used in many fields, including marketing, social science and computer science) as a classification method often used for data mining purposes.

	= What is cluster analysis? =		= What is cluster analysis? =
Line 7:		Line 7:
	When used in statistics, cluster analysis is used to divide data into groups (clusters) based on similar traits or characteristics. The goal is to identify traits that are meaningful, useful or both.		When used in statistics, cluster analysis is used to divide data into groups (clusters) based on similar traits or characteristics. The goal is to identify traits that are meaningful, useful or both.

−	Cluster analysis not one specific algorithm, but the general task to be solved. The appropriate clustering algorithm and parameter settings depend on the data being gathered and intended use of the results. ~~This~~ is ~~why cluster analysis is sometimes the starting point of information gathering~~.	+	Cluster analysis refers not to one specific algorithm, but to the general task to be solved. The appropriate clustering algorithm and parameter settings depend on the data being gathered and the intended use of the results. There are roughly 100 different types - but one that is correctly selected can help to resolve an unwieldy or seemingly illogical decision making process.

−	~~There is no definitive clustering algorithm -~~ there are ~~roughly 100 different types - but one that is correctly selected can help to resolve an unwieldy~~ or ~~illogical~~ decision ~~making process~~.	+	Consider this example: there are a number of items in a room and each item has a set of characteristics (size, shape or colour). How will the items be grouped? Will it be based on size, shape or colour? This decision may be based on many factors, depending on how many items there are, their properties, priorities and so on.

	= Clustering analytics =		= Clustering analytics =

−	Construction projects often attract a large number of potential ~~contractors~~ with numerous characteristics.Under these circumstances, the prequalification process can sometimes require a significant commitment of time and resources.	+	Construction projects often attract a large number of potential suppliers with numerous characteristics.Under these circumstances, the prequalification process can sometimes require a significant commitment of time and resources.

−	The cluster analysis technique can be explored to identify common traits. These traits can then be used to group contractors based on their shared characteristics or abilities. Its purpose is to remove subjective rationale behind ~~contractor~~ selection and instead ~~rely~~ more on pure data based on ~~evaluations assigned during the cluster analysis~~.	+	The cluster analysis technique can be explored to identify common traits. These traits can then be used to group contractors based on their shared characteristics or abilities. Its purpose is to remove subjective rationale behind supplier selection and instead relies more on a pure data-based on evaluation.

−	~~The use of logical analysis~~ to ~~interpret large quantities of data can help with prediction and decision making~~. The ~~analysis of data may include discerning trends and patterns~~, ~~their interpretation and communication. Analytics is therefore the link between the data and~~ making ~~informed decisions. Organisations can use analytics to gain~~ a ~~predictive intelligence that can help shape their future plans~~.	+	Ideally, clustering organises suppliers by assigning values to key selection criteria. The end result is ideally a rational selection process based on evaluating each vendor, assigning a classification making a selection.

−	~~= Clustering in application =~~	+	The analysis of data may include discerning trends and patterns, their interpretation and communication.
−		+
−	~~Ideally, the clustering organises a large group of potential contractors while assigning concrete values to key selection criteria.~~ The ~~end result is ideally a rational selection process based on evaluating each vendor, assigning a classification making a selection.~~	+
−		+
−	~~Consider this example: there are a number~~ of ~~items in a room~~ and each item has a set of characteristics (size, shape or colour). How will the items be grouped? Will it be based on size, shape or colour? This decision may be based on many factors, depending on how many items there are.	+
−		+
−	~~Clustering is one method for organisations to borrow from statistical or technological applications to make data based decisions. Based on this premise~~, ~~it can also be used for project scheduling~~ and ~~management~~.	+

	= Related articles on Designing Buildings Wiki =		= Related articles on Designing Buildings Wiki =

Editor at 18:50, 10 August 2020

2020-08-10T18:50:16Z

← Older revision		Revision as of 18:50, 10 August 2020
Line 1:		Line 1:
	= Introduction =		= Introduction =

−	Clustering ~~contract management~~ is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical technique used in many fields, including marketing, social science, computer science and other sciences) as a classification method for prequalifying contractors	+	Clustering is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical technique used in many fields, including marketing, social science, computer science and other sciences) as a classification method for prequalifying contractors. In general terms, it is often used for data mining purposes.

	= What is cluster analysis? =		= What is cluster analysis? =

−	When used in statistics, cluster analysis is used to divide data into groups (clusters) based on similar traits or characteristics. The goal is to identify traits that are meaningful, useful or both~~. In general terms, it is often used for data mining purposes~~.	+	When used in statistics, cluster analysis is used to divide data into groups (clusters) based on similar traits or characteristics. The goal is to identify traits that are meaningful, useful or both.

	Cluster analysis not one specific algorithm, but the general task to be solved. The appropriate clustering algorithm and parameter settings depend on the data being gathered and intended use of the results. This is why cluster analysis is sometimes the starting point of information gathering.		Cluster analysis not one specific algorithm, but the general task to be solved. The appropriate clustering algorithm and parameter settings depend on the data being gathered and intended use of the results. This is why cluster analysis is sometimes the starting point of information gathering.
Line 11:		Line 11:
	There is no definitive clustering algorithm - there are roughly 100 different types - but one that is correctly selected can help to resolve an unwieldy or illogical decision making process.		There is no definitive clustering algorithm - there are roughly 100 different types - but one that is correctly selected can help to resolve an unwieldy or illogical decision making process.

−	= Clustering ~~in application~~ =	+	= Clustering analytics =

	Construction projects often attract a large number of potential contractors with numerous characteristics.Under these circumstances, the prequalification process can sometimes require a significant commitment of time and resources.		Construction projects often attract a large number of potential contractors with numerous characteristics.Under these circumstances, the prequalification process can sometimes require a significant commitment of time and resources.

−	The cluster analysis technique can be ~~used~~ to identify common traits ~~which~~ can be used to group contractors based on their shared characteristics or abilities. Its purpose is to remove subjective rationale behind contractor selection and instead rely more on pure data based on evaluations assigned during the cluster analysis.	+	The cluster analysis technique can be explored to identify common traits. These traits can then be used to group contractors based on their shared characteristics or abilities. Its purpose is to remove subjective rationale behind contractor selection and instead rely more on pure data based on evaluations assigned during the cluster analysis.
		+
		+	The use of logical analysis to interpret large quantities of data can help with prediction and decision making. The analysis of data may include discerning trends and patterns, their interpretation and communication. Analytics is therefore the link between the data and making informed decisions. Organisations can use analytics to gain a predictive intelligence that can help shape their future plans.
		+
		+	= Clustering in application =

	Ideally, the clustering organises a large group of potential contractors while assigning concrete values to key selection criteria. The end result is ideally a rational selection process based on evaluating each vendor, assigning a classification making a selection.		Ideally, the clustering organises a large group of potential contractors while assigning concrete values to key selection criteria. The end result is ideally a rational selection process based on evaluating each vendor, assigning a classification making a selection.
Line 22:		Line 26:

	Clustering is one method for organisations to borrow from statistical or technological applications to make data based decisions. Based on this premise, it can also be used for project scheduling and management.		Clustering is one method for organisations to borrow from statistical or technological applications to make data based decisions. Based on this premise, it can also be used for project scheduling and management.
		+
		+	= Related articles on Designing Buildings Wiki =
		+
		+	* Construction contract.
		+	* Data analytics.
		+	* Data and behaviours in construction.
		+	* Procurement route.

	[[Category:Theory]] [[Category:Construction_management]] [[Category:Construction_techniques]] [[Category:Procurement]]		[[Category:Theory]] [[Category:Construction_management]] [[Category:Construction_techniques]] [[Category:Procurement]]

Editor: Created page with "= Introduction = Clustering contract management is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical t..."

2020-08-10T18:42:38Z

Created page with "= Introduction = Clustering contract management is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical t..."

New page

= Introduction =

Clustering contract management is a method of pre-qualification for construction projects. It applies the concepts of cluster analysis (which is a statistical technique used in many fields, including marketing, social science, computer science and other sciences) as a classification method for prequalifying contractors

= What is cluster analysis? =

When used in statistics, cluster analysis is used to divide data into groups (clusters) based on similar traits or characteristics. The goal is to identify traits that are meaningful, useful or both. In general terms, it is often used for data mining purposes.

Cluster analysis not one specific algorithm, but the general task to be solved. The appropriate clustering algorithm and parameter settings depend on the data being gathered and intended use of the results. This is why cluster analysis is sometimes the starting point of information gathering.

There is no definitive clustering algorithm - there are roughly 100 different types - but one that is correctly selected can help to resolve an unwieldy or illogical decision making process.

= Clustering in application =

Construction projects often attract a large number of potential contractors with numerous characteristics.Under these circumstances, the prequalification process can sometimes require a significant commitment of time and resources.

The cluster analysis technique can be used to identify common traits which can be used to group contractors based on their shared characteristics or abilities. Its purpose is to remove subjective rationale behind contractor selection and instead rely more on pure data based on evaluations assigned during the cluster analysis.

Ideally, the clustering organises a large group of potential contractors while assigning concrete values to key selection criteria. The end result is ideally a rational selection process based on evaluating each vendor, assigning a classification making a selection.

Consider this example: there are a number of items in a room and each item has a set of characteristics (size, shape or colour). How will the items be grouped? Will it be based on size, shape or colour? This decision may be based on many factors, depending on how many items there are.

Clustering is one method for organisations to borrow from statistical or technological applications to make data based decisions. Based on this premise, it can also be used for project scheduling and management.

[[Category:Theory]] [[Category:Construction_management]] [[Category:Construction_techniques]] [[Category:Procurement]]