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Questions tagged [tsne]

58 questions
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Trying to Plot Closest Words Using TSNE in Word2Vec model

I can't figure out why I keep getting a ValueError messsage with the following code: def display_closestwords_tsnescatterplot(test_model, word): arr = np.empty((0,300), dtype='f') word_labels = [word] # get close words …
Dez Miller
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t-SNE r coding and pj|i matrix

equationI need to make the following equation into a function given data that is two columns of 200 rows and run this function in a for loop to get a matrix that is 200 rows and 200 columns. I've tried just making a function for the denominator then…
NICOLA CHURCHILL
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TSNE plot having Type Error must be real number, not str

I kept getting this error message when i tried doing TSNE plot :TypeError: must be real number, not str. I need help seriously. below is my code: y = df_new['binary'] X = df_new.drop('binary', axis = 1) def tsne_plot(x, y): # Setting the…
Kudjoe Erik
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UMAP plot string labels next to dots

mapper = umap.UMAP(n_neighbors=5, metric='hamming').fit(data.drop('pid',axis=1)) umap.plot.points(mapper,labels=np.array(clusters['leaves_color_list'])) The result looks like this: Instead of/In addition to colored dots, I'd like to plot the 'pid'…
Chris
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T-distributed Stochastic Neighbor Embedding (t-SNE)

I am trying to run T-distributed Stochastic Neighbor Embedding (t-SNE) in Jupyter but always facing a issue with ValueError: could not convert string to float: '' Code: enter image description here import numpy as np import pandas as…
Satya Prakash
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How to prepare the input for T-SNE transform in pandas?

I am trying to visualize my dataset (which is stored as a Pandas DataFrame) using T-SNE with the following code: N = 10000 df_subset = df.sample(n=N, random_state=1) data_subset = df_subset.values tsne = TSNE(n_components=2, verbose=1,…
robot
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TSNE: ValueError: setting an array element with a sequence

I'm trying to pass a numpy array to TSNE in order compress that to 2 columns and after that plotting with seaborn. result is a dataframe that i've read from a csv. arr=result.to_numpy() n_components = 2 tsne =…
ccragusa
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How to plot Tsne in matlab using specific color

I am trying to plot the result of Tsne using gscatter in Matlab. I want to use specific color for training and other color for Anchors Y=tsne(xtrain; xAnxhors]); gscatter(Y(:,1),Y(:,2)); That is the code that I used but I got the figure in one…
user9010429
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pyspark tsne dimension reduction

Is there a way to implement dimension reduction using pyspark? I have a dataframe and loaded into pyspark. FILENAME = "test.csv" spark = SparkSession.builder.appName('Test') \ .getOrCreate() spark_df = spark.read.csv(FILENAME, header=True) #…
just want to learn
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Should I separate my data into different batches and then perform tsne on each batch?

I have a very huge dataset and required to reduce the embedding of 768 dimension to 128dimension with TSNE. Since I have more than 1million rows, it takes more than weeks to complete dimension reduction on whole dataset, so I thought maybe I can…
just want to learn
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Why do my t-SNE plots with euclidean and cosine distances look similar

I have a question about two t-SNE plots I made. I have a set of 850 articles for which I wanted to check which articles are similar to each other. This was done by pre-processing the articles first, then making a tf-idf vector of the whole set and…
HenkieTee
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T-SNE for better data visualization

My dataset shape is (248857, 11) This is how it looks like before StandartScaler. I performed clustering analysis because of those clustering algorithms such as K-means do need feature scaling before they are fed to the algo. After I performed…
linuxpanther
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Two ways of computing t-SNE plot with cosine similarity ends in different plots, but the method seems the same

I have been looking at this for the past hour but can not seem to find the problem... I have a list of articles on which I want to see which articles are similar to each other. I have done this by computing the cosine similarities between the TF-IDF…
HenkieTee
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gradient descent update rule in sklearn's tSNE implementation

In sklearn's tSNE implementation, the gradient update is done as follows (gradient_descent function in _t_sne.py on sklearn's github): error, grad = objective(p, *args, **kwargs) grad_norm = linalg.norm(grad) inc = update * grad < 0.0 …
futuref
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Different results after repeating TSNE after KMeans clustering

I'm using sklearn.manifold.TSNE to project onto 2-dimensional space a dataset that I've separately clustered using sklearn.clustering.KMeans. My code is the following: clustering = KMeans(n_clusters=5, random_state=5) clustering.fit(X) tsne =…
James Arten
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