kmeans.hpp

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/*
 * Copyright (c) 2019-2025, NVIDIA CORPORATION.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
 
#pragma once
 
#include <cuml/cluster/kmeans_params.hpp>
 
namespace raft {
class handle_t;
}
 
namespace ML {
 
namespace kmeans {
 
void fit(const raft::handle_t& handle,
         const KMeansParams& params,
         const float* X,
         int n_samples,
         int n_features,
         const float* sample_weight,
         float* centroids,
         float& inertia,
         int& n_iter);
 
void fit(const raft::handle_t& handle,
         const KMeansParams& params,
         const double* X,
         int n_samples,
         int n_features,
         const double* sample_weight,
         double* centroids,
         double& inertia,
         int& n_iter);
 
void fit(const raft::handle_t& handle,
         const KMeansParams& params,
         const float* X,
         int64_t n_samples,
         int64_t n_features,
         const float* sample_weight,
         float* centroids,
         float& inertia,
         int64_t& n_iter);
 
void fit(const raft::handle_t& handle,
         const KMeansParams& params,
         const double* X,
         int64_t n_samples,
         int64_t n_features,
         const double* sample_weight,
         double* centroids,
         double& inertia,
         int64_t& n_iter);
 
void predict(const raft::handle_t& handle,
             const KMeansParams& params,
             const float* centroids,
             const float* X,
             int n_samples,
             int n_features,
             const float* sample_weight,
             bool normalize_weights,
             int* labels,
             float& inertia);
 
void predict(const raft::handle_t& handle,
             const KMeansParams& params,
             const double* centroids,
             const double* X,
             int n_samples,
             int n_features,
             const double* sample_weight,
             bool normalize_weights,
             int* labels,
             double& inertia);
void predict(const raft::handle_t& handle,
             const KMeansParams& params,
             const float* centroids,
             const float* X,
             int64_t n_samples,
             int64_t n_features,
             const float* sample_weight,
             bool normalize_weights,
             int64_t* labels,
             float& inertia);
 
void predict(const raft::handle_t& handle,
             const KMeansParams& params,
             const double* centroids,
             const double* X,
             int64_t n_samples,
             int64_t n_features,
             const double* sample_weight,
             bool normalize_weights,
             int64_t* labels,
             double& inertia);
void transform(const raft::handle_t& handle,
               const KMeansParams& params,
               const float* centroids,
               const float* X,
               int n_samples,
               int n_features,
               float* X_new);
 
void transform(const raft::handle_t& handle,
               const KMeansParams& params,
               const double* centroids,
               const double* X,
               int n_samples,
               int n_features,
               double* X_new);
void transform(const raft::handle_t& handle,
               const KMeansParams& params,
               const float* centroids,
               const float* X,
               int64_t n_samples,
               int64_t n_features,
               float* X_new);
 
void transform(const raft::handle_t& handle,
               const KMeansParams& params,
               const double* centroids,
               const double* X,
               int64_t n_samples,
               int64_t n_features,
               double* X_new);
};  // end namespace kmeans
};  // end namespace ML