Clustering with groups in data related to cluster label The 2019 Stack Overflow Developer Survey Results Are InClustering not producing even clustersPrepping Data For Usage ClusteringBest approach for this unsupervised clustering problem with categorical data?k-means clustering data with large number of meaningless valuesClustering individuals with random observationsExplaination or Description of clusters after clusteringHow to determine x and y in 2 dimensional K-means clustering?What are suitable predictive analytics models for data from multiple sensors?clustering 2-dimensional euclidean vectors - appropriate dissimilarity measureconfusing regarding to kmeans clulstering for data correlation
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Clustering with groups in data related to cluster label
The 2019 Stack Overflow Developer Survey Results Are InClustering not producing even clustersPrepping Data For Usage ClusteringBest approach for this unsupervised clustering problem with categorical data?k-means clustering data with large number of meaningless valuesClustering individuals with random observationsExplaination or Description of clusters after clusteringHow to determine x and y in 2 dimensional K-means clustering?What are suitable predictive analytics models for data from multiple sensors?clustering 2-dimensional euclidean vectors - appropriate dissimilarity measureconfusing regarding to kmeans clulstering for data correlation
$begingroup$
I want to predict which device got used in which room. Therefore I've got device and sensor data.
My idea was to create a feature vector lie this:
----------------------------------------------------------
Data-Vector: | u_1 u_2 u_3 | x_1 ... x_7 | y_1 ... y_12 | z_1 ... z_4 |
----------------------------------------------------------
Categories: | device_data | room 1 data | room 2 data | room 3 data |
----------------------------------------------------------
My device data contains amongst other things:
+ timestamps when the device got turned on/off
+ average power consumption and divergences
My room data contains for example:
+ sensor data of motion detector and timestamps
+ sensor data of lamps (turned on/off) and timestamps
+ weather data
In the feature vector I've got the room data closest to the turn on/off timestamp.
All data points itself are floats.
My idea was to use k-means for clustering.
My problems are:
1. When using k-means, how can I tell which cluster correlates to which room label (room1, room2 or room3)?
2. I think it could be beneficial if I add somehow the information: which sensor is which room.
Can I manipulate the data in k-means algorithm so it will only consider:
the device data and room 1 data for the first cluster and sets everything else to zero
the device data and room 2 data for the second cluster
and so on...
This way I could tell that cluster x correlates to room x.
Or will this somehow break the k-means algorithm?
machine-learning clustering k-means
asked Jun 11 '18 at 15:34
GAV3GAV3
12
$endgroup$
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I want to predict which device got used in which room. Therefore I've got device and sensor data.
My idea was to create a feature vector lie this:
----------------------------------------------------------
Data-Vector: | u_1 u_2 u_3 | x_1 ... x_7 | y_1 ... y_12 | z_1 ... z_4 |
----------------------------------------------------------
Categories: | device_data | room 1 data | room 2 data | room 3 data |
----------------------------------------------------------
My device data contains amongst other things:
+ timestamps when the device got turned on/off
+ average power consumption and divergences
My room data contains for example:
+ sensor data of motion detector and timestamps
+ sensor data of lamps (turned on/off) and timestamps
+ weather data
In the feature vector I've got the room data closest to the turn on/off timestamp.
All data points itself are floats.
My idea was to use k-means for clustering.
My problems are:
1. When using k-means, how can I tell which cluster correlates to which room label (room1, room2 or room3)?
2. I think it could be beneficial if I add somehow the information: which sensor is which room.
Can I manipulate the data in k-means algorithm so it will only consider:
the device data and room 1 data for the first cluster and sets everything else to zero
the device data and room 2 data for the second cluster
and so on...
This way I could tell that cluster x correlates to room x.
Or will this somehow break the k-means algorithm?
machine-learning clustering k-means
asked Jun 11 '18 at 15:34
GAV3GAV3
12
$endgroup$
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I want to predict which device got used in which room. Therefore I've got device and sensor data.
My idea was to create a feature vector lie this:
----------------------------------------------------------
Data-Vector: | u_1 u_2 u_3 | x_1 ... x_7 | y_1 ... y_12 | z_1 ... z_4 |
----------------------------------------------------------
Categories: | device_data | room 1 data | room 2 data | room 3 data |
----------------------------------------------------------
My device data contains amongst other things:
+ timestamps when the device got turned on/off
+ average power consumption and divergences
My room data contains for example:
+ sensor data of motion detector and timestamps
+ sensor data of lamps (turned on/off) and timestamps
+ weather data
In the feature vector I've got the room data closest to the turn on/off timestamp.
All data points itself are floats.
My idea was to use k-means for clustering.
My problems are:
1. When using k-means, how can I tell which cluster correlates to which room label (room1, room2 or room3)?
2. I think it could be beneficial if I add somehow the information: which sensor is which room.
Can I manipulate the data in k-means algorithm so it will only consider:
the device data and room 1 data for the first cluster and sets everything else to zero
the device data and room 2 data for the second cluster
and so on...
This way I could tell that cluster x correlates to room x.
Or will this somehow break the k-means algorithm?
machine-learning clustering k-means
asked Jun 11 '18 at 15:34
GAV3GAV3
12
$endgroup$
I want to predict which device got used in which room. Therefore I've got device and sensor data.
My idea was to create a feature vector lie this:
----------------------------------------------------------
Data-Vector: | u_1 u_2 u_3 | x_1 ... x_7 | y_1 ... y_12 | z_1 ... z_4 |
----------------------------------------------------------
Categories: | device_data | room 1 data | room 2 data | room 3 data |
----------------------------------------------------------
My device data contains amongst other things:
+ timestamps when the device got turned on/off
+ average power consumption and divergences
My room data contains for example:
+ sensor data of motion detector and timestamps
+ sensor data of lamps (turned on/off) and timestamps
+ weather data
In the feature vector I've got the room data closest to the turn on/off timestamp.
All data points itself are floats.
My idea was to use k-means for clustering.
My problems are:
1. When using k-means, how can I tell which cluster correlates to which room label (room1, room2 or room3)?
2. I think it could be beneficial if I add somehow the information: which sensor is which room.
Can I manipulate the data in k-means algorithm so it will only consider:
the device data and room 1 data for the first cluster and sets everything else to zero
the device data and room 2 data for the second cluster
and so on...
This way I could tell that cluster x correlates to room x.
Or will this somehow break the k-means algorithm?
machine-learning clustering k-means
machine-learning clustering k-means
asked Jun 11 '18 at 15:34
GAV3GAV3
12
asked Jun 11 '18 at 15:34
GAV3GAV3
12
edited Jun 13 '18 at 14:35
GAV3
asked Jun 11 '18 at 15:34
GAV3GAV3
12
asked Jun 11 '18 at 15:34
GAV3GAV3
12
asked Jun 11 '18 at 15:34
GAV3GAV3
12
12
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 51 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
If you have apriori known labels, then use the labels, not clustering.
Clustering is quite difficulty and fragile, so always prefer a simpler solution if you can.
It's not very clear what you are trying to solve. Select columns to split the data into rooms? Just select the columns then.
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
$endgroup$
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
add a comment |
Your Answer
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1 Answer
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oldest
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
$begingroup$
If you have apriori known labels, then use the labels, not clustering.
Clustering is quite difficulty and fragile, so always prefer a simpler solution if you can.
It's not very clear what you are trying to solve. Select columns to split the data into rooms? Just select the columns then.
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
$endgroup$
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
add a comment |
$begingroup$
If you have apriori known labels, then use the labels, not clustering.
Clustering is quite difficulty and fragile, so always prefer a simpler solution if you can.
It's not very clear what you are trying to solve. Select columns to split the data into rooms? Just select the columns then.
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
$endgroup$
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
add a comment |
$begingroup$
If you have apriori known labels, then use the labels, not clustering.
Clustering is quite difficulty and fragile, so always prefer a simpler solution if you can.
It's not very clear what you are trying to solve. Select columns to split the data into rooms? Just select the columns then.
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
$endgroup$
If you have apriori known labels, then use the labels, not clustering.
Clustering is quite difficulty and fragile, so always prefer a simpler solution if you can.
It's not very clear what you are trying to solve. Select columns to split the data into rooms? Just select the columns then.
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
answered Jun 12 '18 at 6:06
Anony-MousseAnony-Mousse
5,165625
5,165625
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
add a comment |
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
I have the power consumption of devices and some sensor data of rooms. I know which sensors are in which room, but I don't know anything about the devices. My goal is to predict which device got turned on in which room based on the sensor and device data. Since I don't know anything about the devices or the correlation of the sensor data, I can not label the vector and thus need clustering, right?
$endgroup$
– GAV3
Jun 12 '18 at 13:45
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
What is the device data then? We don't have your data. We can only guess! You need to ask much more precise questions.
$endgroup$
– Anony-Mousse
Jun 12 '18 at 19:51
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
$begingroup$
Ok I added to my question above, what my data contains and what exactly my problems and ideas to fix them are.
$endgroup$
– GAV3
Jun 13 '18 at 14:37
add a comment |
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