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Clustering Datasets

Best 10 Clustering Datasets for Machine Learning Implementations

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Recommended Clustering Datasets

1-10 of 53 product results for "clustering datasets"
Start icon4.9(2)

Serpstat: Clustered industry semantics dataset
by Serpstat
Explore Serpstat's innovative Clustered Industry Semantics Dataset, designed to provide structured semantics ... Leveraging advanced SERP crawling-based clustering algorithms, our dataset offers a clear picture of
25K clustered keywords per industry
1 months of historical data
100% Local SERPs based Clustering
Starts at
$2,000$1,900 / 25000 Struct...
Free sample preview
5% Datarade discount
5% revenue share
Start icon5.0(3)

Global Point-of-Interest Data | POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location | 251 Millions+ POI Data Mapped
by The Data Appeal Company
- POI Sentiment by Customer Type - POI Sentiment by Country/Customer Origin - POI Sentiment by Cluster ... Points of Interest data packs contain the following information: - POI Main Listing (name, address
320 Billion Pieces of Online Content Analyzed Each Day
5 years of historical data
80% match rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

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brand datasetsdelivery datasetindustry data united kingdomindustries listsindustry datasetsindustrial datasetnlp datasetsindustry apisindustry data indiajobs datasetjob postings datasetfood data united states of america
Start icon5.0(3)

Europe Location Data | POI, Geospatial, Foot Traffic Data, Sentiment data, Business Listings Data & Store Location | 251 Millions+ POI Data Mapped
by The Data Appeal Company
- POI Sentiment by Customer Type - POI Sentiment by Country/Customer Origin - POI Sentiment by Cluster ... Global location data and POI datasets enriched with Business Info, Sentiment, Foot Traffic Data & Review
320 Billion Pieces of Online Content Analyzed Each Day
5 years of historical data
80% match rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
Start icon5.0(2)

B2B Intent Data | Genuine Content Engagement Intent | Safe to Send Emails, Direct Dail Phone | Primary Decision Makers | B2B Buyer Intent Data
by Solution Publishing
Advanced Weekly Intent-Based Contact Feeds Elevate your marketing strategy with our unique intent data ... Like Solution Publishing, which leverages intent and interest data for targeted engagement, we delve
1M US Business Contacts per Week
6 months of historical data
100% LinkedIn Validated
Available Pricing:
One-off purchase
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Yearly License
Free sample preview
15% Datarade discount
50% revenue share

Categories related to clustering datasets

Natural Language Processing (NLP) DataWeb DataFinancial DataConsumer DataAlternative DataConsumer Behavior DataGoogle DataKeyword Data

1. What are clustering datasets in machine learning?

Clustering datasets in machine learning refer to collections of data points that are grouped together based on their similarities or patterns. These datasets are commonly used to train and evaluate clustering algorithms, which aim to automatically identify and group similar data points.

2. How are clustering datasets beneficial for machine learning applications?

Clustering datasets play a crucial role in machine learning applications as they provide a benchmark for evaluating the performance of clustering algorithms. By using these datasets, researchers and practitioners can compare different algorithms, fine-tune parameters, and assess the effectiveness of their clustering models.

3. What criteria were considered to select the top 10 clustering datasets?

The top 10 clustering datasets were selected based on several criteria, including dataset size, diversity of data types, availability of ground truth labels (if applicable), relevance to real-world problems, and popularity among the machine learning community. These criteria ensure that the selected datasets are representative and suitable for various clustering tasks.

4. Can I use these clustering datasets for other machine learning tasks?

While these datasets are primarily designed for clustering tasks, they can also be utilized for other machine learning tasks such as classification or anomaly detection. However, it is important to note that the datasets’ suitability and performance may vary depending on the specific task and algorithm being used.