Questions tagged [categorical-data]
The categorical-data tag has no usage guidance.
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What is the best clustering method to detect anomalies for data with mostly categorical data?
I have a dataset with about 85 columns. Out of the 85 columns, 70+ are categorical. My goal is to identify the outliers in this dataset through clustering methods as I do not have a target column.
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1answer
33 views
Is categorical encoding a type of word embedding?
Word embedding refers to the techniques in which a word is represented by a vector. There are also integer encoding and one-hot encoding, which I will collectively call categorical encoding.
I can see ...
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25 views
Correct way to work with both categorical and continuous features together
I have a time series with both continuous and categorical features, and I want to do a prediction task.
I will elaborate:
The data is composed of 100Hz sampling of some voltages, kind of like an ecg ...
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2answers
61 views
Should I use additional empty category in some categorical problems?
I try to create autonomous car using keyboard data so this is a multi class classification problem. I have keys W,A,S and D. So I have four categories. My model should decide what key should be ...
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34 views
Network design to learn multiple sequences of multiple categories
For learning a single sequence, LSTM only should suffice.
However, my situation is different here. I have a list of sequences to learn:
The sale volumes of 12 months, these are the sequences
And ...
3
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1answer
105 views
Is it possible to classify resistors using ResNet50?
I want to train ResNet50 model using resistor images like below:
I tried it by collecting data from google images and there were quite few. So accuracy was very low (around %10) but I wonder If it is ...
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0answers
31 views
3d representation of a regression with two independent variables one of them is categorical and another is continuous
I have hopefully a fundamental question of Do I understand things right.
(Thank you in advance and sorry for my English which might be not so good)
1-Preambula 1:
I know that if we have 2 independent ...
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1answer
33 views
Categorizing text into dynamic amount of categories
I'm looking for a supervized system/approach, that could learn how to categorize incoming texts/documents, where new categories can be added over time and the training set will be small. The trained ...
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312 views
CNN clasification model loss stuck at same value
I have CNN model to classify 2 classes. (Yes or No)
I use categorical_crossentropy loss and softmax activation at the end.
For input I use image with all 3 channels, for output I use One hot encoded ...
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23 views
Can two neural networks be better instead of one with a categorical feature?
Let's assume, that I have a neural network with few numerical features and one binary categorical feature. The network in this case is used for regression. I wonder if such a neural network can ...
0
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1answer
67 views
CNN output generally has more than one category in one-hot categorization?
I'm a bit of a CNN newbie, and I'm trying to train one to image classify pictures of pretty similar looking particles. I'm making the inputs and labels by hand from a set of 48x48 grayscale images, ...
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2answers
291 views
Is a binary attribute type the same as binomial attribute type?
I am not sure if I can use the words binomial and binary and boolean as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning ...
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478 views
How to model categorical variables / enums?
I am new to the field and I am trying to understand how is possible to use categorical variables / enums?
Lets say we have a data set and 2 of its features are ...
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1answer
177 views
What's an appropriate algorithm for classification with categorical features?
My input data consists of a series of 8 integers. Each integer is a discrete token, rather than a relative numeric value (i.e. '1' and '2' are as distinct as are '1' and '100'). The output is a ...
